Full-Time

Senior Quantum Machine Builder

QuEra Computing

QuEra Computing

51-200 employees

Cloud-access 256-qubit neutral-atom quantum computer

Compensation Overview

$135k - $185k/yr

+ Equity Grants

Boston, MA, USA

In Person

On-site 5 days a week in Boston, MA.

Bachelor's, PhD

Category
Quantum Computing
Required Skills
Python
Linux/Unix
Data Analysis

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Requirements
  • Graduate degree in Physics, Engineering or related fields or equivalent level of industry experience.
  • 3+ years prior hands-on experience in a lab environment required, such as working with free space optics, lasers, RF systems, holography, UHV systems.
  • Proficient in coding (Python, Linux)
  • Experience working with data acquisition systems and data analysis techniques.
  • Experienced with CAD software (Autodesk Inventor preferred).
  • Ability to work independently and effectively with cross-functional teams.
  • Thrives in a fast-paced start-up environment and can pivot as needed.
  • Candidates with degrees in Physics, Engineering, or related fields, including postdoctoral training, welcome to apply.
Responsibilities
  • This role involves working cross-functionally with Science, Hardware Engineering, and Software Engineering teams to build quantum computers as well as quantum systems for existing and next-generation quantum computers.
  • This role is on-site and requires a blend of deep scientific knowledge with practical experimental skills.
  • The base salary is $135,000-$185,000 and role is on-site 5 days a week.
Desired Qualifications
  • PhD preferred.
  • Quantum Physics, Quantum Computing background

QuEra Computing builds quantum hardware using neutral-atom technology and offers cloud access to a 256-qubit quantum computer called Aquila, accessible through Amazon Braket. Their platform targets optimization problems common in finance, logistics, and drug discovery, such as finding the maximal independent set in a graph. The Aquila system is controlled and programmed with Bloqade, an open-source software package available in Python and Julia that lets users simulate quantum systems and operate the hardware. Unlike some competitors who focus on different qubit technologies or sell standalone devices, QuEra combines hardware access with software tools, lowering barriers for both academic researchers and commercial customers. The company aims to help users solve complex optimization tasks by providing scalable quantum hardware and supporting software, so users can experiment, test, and deploy quantum strategies on the cloud.

Company Size

51-200

Company Stage

Series B

Total Funding

$277M

Headquarters

Boston, Massachusetts

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • AWS expanded partnership on June 15, 2026, promising Libra on Braket in 2028.
  • QuEra closed over $230 million in February 2025, later backed by NVIDIA's NVentures.
  • June 2026 transversal STAR cuts early fault-tolerant simulation costs 20-40x versus prior designs.

What critics are saying

  • Libra's 2028 target depends on error correction, decoding, and manufacturing hitting unproven milestones.
  • QuEra's value creation now hinges on AWS distribution, creating platform concentration risk.
  • If neutral-atom fault tolerance slips, IonQ, Quantinuum, and superconducting rivals capture enterprise demand.

What makes QuEra Computing unique

  • QuEra's neutral-atom arrays scale to 256 qubits on Aquila, live on Amazon Braket since 2022.
  • Bloqade in Python and Julia lowers access friction for researchers and enterprise developers.
  • Co-designed fault-tolerant stacks with Harvard, MIT, and Los Alamos target reconfigurable architectures.

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Benefits

Remote Work Options

Flexible Work Hours

Paid Vacation

Health Insurance

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-4%

2 year growth

-9%
MLQ AI
Jul 11th, 2026
Oratomic raises $300M Series A to build fault-tolerant quantum computer with 20,000 qubits.

Oratomic raises $300M Series A to build fault-tolerant quantum computer with 20,000 qubits. Key points * Oratomic raised $300M in Series A funding co-led by ARCH Venture Partners, Spark Capital, and Khosla Ventures, with participation from Bezos Expeditions, Index Ventures, General Catalyst, and Bain Capital [[1]] * The company uses neutral-atom qubits manipulated by optical tweezers and claims it needs only 10,000 to 20,000 reconfigurable qubits for fault tolerance - versus the million-plus targeted by competitors [[2]] * CEO Dolev Bluvstein's lab has demonstrated 6,000 atoms trapped in an array, and the team says it has experimentally validated all core components at smaller scale [[3]] * Oratomic is not pursuing intermediate commercial products, instead betting everything on a direct path to a fully fault-tolerant machine by the end of the decade [[4]] * The startup launched from stealth on March 31, 2026, making this one of the fastest seed-to-Series-A progressions in quantum computing history [[3]] Oratomic, a quantum computing startup spun out of research at the California Institute of Technology and Harvard University, has raised $300 million in Series A funding to build what it calls the first utility-scale fault-tolerant quantum computer. The round was co-led by ARCH Venture Partners, Spark Capital, and Khosla Ventures, with participation from Bezos Expeditions, Index Ventures, General Catalyst, Lowercarbon Capital, Bain Capital, Formation, and Nebular [[1]] [[2]]. The company, led by CEO Dolev Bluvstein - a Harvard PhD and incoming Caltech physics professor whose research pioneered computation with reconfigurable atomic arrays - is taking a fundamentally different bet than most of its rivals. Where competitors like QuEra Computing and Atom Computing are building systems that scale toward a million or more physical qubits, Oratomic claims its neutral-atom architecture requires only 10,000 to 20,000 reconfigurable qubits to achieve fault tolerance [[2]] [[3]]. The $300 million raise comes just over three months after Oratomic emerged from stealth on March 31, 2026 - an unusually rapid fundraising timeline that reflects intense investor appetite for quantum computing breakthroughs. The valuation was not disclosed [[1]] [[5]]. Discover more Company News AI business consulting Health Foundations & Medical Research The technology. Oratomic's approach centers on neutral-atom qubits - individual atoms held in place by focused laser beams that function as "optical tweezers." Unlike superconducting qubit systems used by IBM and Google, neutral atoms can be physically rearranged during calculations, enabling flexible connections between qubits and more efficient implementation of quantum error correction [[2]] [[3]]. The company's co-founder Manuel Endres, a Caltech professor, has demonstrated approximately 6,000 atoms successfully trapped in an array in laboratory experiments. The team says it has experimentally validated all core components required for a fault-tolerant machine at slightly smaller scale, giving it confidence that the full system is achievable [[3]]. The advisory team includes John Preskill, the Caltech physicist who coined the term "quantum supremacy" and is one of the field's most influential theorists [[5]]. The investors. The investor syndicate reads as a who's-who of deep-tech venture capital. ARCH Venture Partners has a long track record in science-heavy bets, while Khosla Ventures and Spark Capital bring significant Silicon Valley networks. Jeff Bezos's personal investment vehicle, Bezos Expeditions, adds another marquee name to the cap table [[1]] [[2]]. Notably, Infleqtion - itself a neutral-atom quantum computing company - also participated in the round, an unusual move that suggests some level of strategic alignment or technology licensing between the two firms [[4]]. Individual investors David and Scott Aaronson also joined the round [[4]]. Discover more Financial Markets News Market trend analysis Business Formation The competitive landscape. Oratomic enters a crowded and well-funded neutral-atom quantum computing market. Atom Computing, backed by Microsoft, is building a machine called Magne with 50 logical qubits from roughly 1,200 physical qubits, expected to be operational by early 2027. QuEra Computing, partnered with Google and Amazon Web Services, plans to launch its fault-tolerant machine in 2028. France's Pasqal reached 1,000 qubits in 2024 and has announced plans to scale to 10,000 [[6]]. What distinguishes Oratomic is its claim that advances in error correction - specifically in how reconfigurable atomic arrays handle fault tolerance - dramatically reduce the total qubit count needed. If validated at scale, the approach would represent a significant shortcut past the million-qubit barrier that has defined most industry roadmaps [[2]] [[3]]. Use of funds and strategy. Oratomic plans to deploy the capital across three areas: high-performance quantum hardware fabrication, algorithmic research into fault-tolerant logical qubit topologies, and aggressive hiring of physicists and hardware engineers [[2]] [[3]]. The company has explicitly stated it is not pursuing intermediate commercial products or revenue-generating systems along the way - a high-risk, high-reward strategy that bets everything on reaching full fault tolerance before monetizing [[4]]. This stands in contrast to rivals like QuEra and Pasqal, which have begun offering cloud-accessible quantum processors to generate early revenue while continuing to scale. What's next. The immediate challenge for Oratomic is scaling from its current laboratory demonstrations of 6,000 trapped atoms to a fully integrated system of 10,000 to 20,000 qubits with operational error correction. The company has set an end-of-decade target, though CEO Bluvstein has been careful to note that outcome is "plausible, although not guaranteed" [[3]]. The $300 million war chest gives Oratomic roughly four years of runway to prove out its thesis - a timeline that will overlap with milestone deliveries from Atom Computing, QuEra, and Pasqal. The race to fault-tolerant quantum computing, long a theoretical aspiration, now has multiple well-funded entrants competing on divergent technical paths [[6]]. At the intersection of AI, tech, and markets. The stories that matter, in one email. Free - unsubscribe anytime.

PR Newswire
Jun 25th, 2026
QuEra unveils gigaquop-class quantum computer roadmap for 2028-29, launches co-design program

QuEra Computing has unveiled plans for a gigaquop-class quantum computer capable of over one billion reliable logical operations, targeted for 2028 to 2029. The system will feature more than 1,000 logical qubits, a 10⁻⁹ logical error rate and over 20,000 physical qubits in a single processing core. The announcement follows the unveiling of Libra, QuEra's first fault-tolerant quantum computer, which will arrive on Amazon Braket in 2028. The gigaquop-class system represents a thousandfold increase in performance over Libra's megaquop capabilities. QuEra has launched the FTQC Founders Circle, inviting enterprises, HPC centres and government programmes to co-design fault-tolerant applications before the hardware launches. The company is collaborating with NVIDIA on quantum-GPU supercomputing for real-time error correction at scale.

Quantum Computing Report
Jun 25th, 2026
QuEra and Los Alamos National Laboratory introduce transversal STAR architecture for scalable quantum simulation.

QuEra and Los Alamos National Laboratory introduce transversal STAR architecture for scalable quantum simulation. QuEra Computing and Los Alamos National Laboratory have introduced a co-designed quantum computing architecture named transversal STAR (Space-Time Efficient Analog Rotation). Published in PRX Quantum, the framework reduces the physical qubit overhead and gate-synthesis clock cycles required for early fault-tolerant quantum simulation. Designed specifically for neutral-atom hardware arrays, the architecture optimizes calculations in materials science, condensed matter physics, and non-equilibrium many-body dynamics, moving execution speeds closer to the "megaquop" regime - the milestone where an error-corrected system completes one million reliable logical operations. [ Standard FT] Small-Angle Rotation | Magic State Distillation | Solovay-Kitaev Synthesis (High Overhead) [Transversal] Small-Angle Rotation | (Transversal Injection + Shuttling) | (250x Speedup) Transversal Magic State injection and synthesis elimination. In conventional fault-tolerant quantum computing, executing non-Clifford operations requires the cultivation, distillation, and consumption of specialized resource states called "magic states." When applied to Hamiltonian simulations, the continuous small-angle rotations native to molecular evolution must be synthesized from a discrete, hardware-allowed gate set via mathematical approximation routines like the Solovay-Kitaev algorithm. This multi-layered process creates a massive computation bottleneck, increasing required circuit depths by a factor of 10 to 50. The transversal STAR architecture sidesteps this overhead by preparing small-angle magic states directly via a post-selection-based transversal injection protocol. By using the natural physical features of neutral-atom platforms - such as large-scale operational parallelism and atom-shuttling connectivity - the system eliminates the discrete gate synthesis pass entirely. Clifford gates are executed transversally across reconfigurable arrays, matching the timeline of analog rotations and removing the planar routing constraints that limited previous fixed-connectivity models. Space-Time resource reduction and qLDPC code integration. To evaluate the scalability of the system, the engineering team performed circuit-level simulations using a hardware-derived physical noise model that accounts for dephasing, Rydberg-mediated gate faults, transport-induced decoherence, and atom loss. Controlled by the Minimum Weight Parity Factor (MWPF) decoder to resolve correlated multi-qubit errors, the surface-code implementation of transversal STAR successfully simulated local Hamiltonians across a simulation volume exceeding 600 using 10,000 physical qubits at a two-qubit gate error rate of 10−3. This configuration represents a 20x to 40x space-time volume reduction compared to earlier fixed-connectivity designs. [ Physical Qubit Requirements] Conventional Fault-Tolerant | 20,000+ Qubits Surface-Code Transversal | 10,000 Qubits High-Rate qLDPC Variant | 1,500 - 3,000 Qubits The authors extended the architecture by integrating high-rate quantum low-density parity-check (qLDPC) codes, such as the [[32, 2, 4]] toric variant. By aligning Hamiltonian lattice translation symmetries directly with the internal code automorphisms of the patch-parallel gateset, the qLDPC-integrated version of transversal STAR reduces the required physical footprint down to roughly 1,500 to 3,000 qubits while sustaining a 250x execution speed advantage over traditional alternatives. The complete peer-reviewed research manuscript detailing the logical noise models, hypergraph layout parameters, and code-co-design structures can be reviewed via the PRX Quantum Publication Journal here, and organizational development roadmaps hosted on the QuEra Newsroom Briefing here. June 24, 2026

QuEra Computing Inc.
Jun 25th, 2026
QuEra unveils gigaquop-class fault-tolerant roadmap and invites organizations to co-design quantum applications.

QuEra unveils gigaquop-class fault-tolerant roadmap and invites organizations to co-design quantum applications. June 25, 2026 Following its roadmap webinar, QuEra detailed a next-generation system designed for more than one billion reliable logical operations and is inviting organizations to co-design fault-tolerant applications through the FTQC Founders Circle. BOSTON, June 25, 2026 - QuEra Computing today detailed the next phase of its fault-tolerant roadmap, including plans for a next-generation gigaquop-class quantum computer coming in 2028 to 2029, and launched a call for solutions inviting enterprises, HPC centers, and government programs to co-design applications for fault-tolerant quantum hardware before it comes online. The announcement follows the June 15th unveiling of Libra, QuEra's first fault-tolerant quantum computer, which is expected to arrive on Amazon Braket in 2028 as part of the company's expanded strategic collaboration with AWS. Libra is a megaquop-class system, designed to perform on the order of one million reliable logical operations. QuEra's multi-year strategic partnership with AWS is structured to span multiple system generations. A gigaquop-class system. QuEra's next-generation system is designed to perform on the order of one billion reliable logical operations, a level commonly referred to as gigaquop-class, and roughly a thousandfold increase over Libra. With projected specifications of more than 1,000 logical qubits, a 10[−9] logical error rate, and over 20,000 physical qubits in a single processing core, the system is targeted for initial use at QuEra in the 2028 to 2029 timeframe. At this scale, gigaquop performance is expected to make substantially larger fault-tolerant workloads possible, including candidate applications in simulation, material and chemical design, machine learning, and optimization that are beyond practical classical computation. The system extends a roadmap that spans Aquila, QuEra's 256-qubit analog quantum computer available on Amazon Braket since 2022, and Gemini, a neutral-atom system with logical-qubit capabilities co-located with the ABCI-Q supercomputer in Japan. "Libra brings fault tolerance to the cloud in 2028, and the next generation is about scaling it by orders of magnitude to unlock new breakthrough solutions to pressing industry problems. We have shown in published research that the building blocks for this scaling exist. This is how QuEra extends its leadership in quantum computing into the fault-tolerant era," said Andy Ory, CEO of QuEra Computing. Scaling beyond Libra. Reaching gigaquop performance while keeping the architecture efficient and compatible with useful applications depends on progress in three areas: reducing space overhead, reducing time overhead, and accelerating quantum error-correction decoding. Together, these advances determine how many physical qubits are needed per logical qubit, how quickly useful logical operations can be executed, and whether the required classical processing can keep pace with the quantum processor. QuEra's neutral-atom platform is designed to move beyond a one-code-fits-all model. Flexible long-range connectivity, parallel atom control, and heterogeneous operating zones make it possible to explore and combine multiple QEC code families for different architectural roles, including memory, operations, and magic-state generation. On space overhead, recent work from QuEra and collaborators points to ultra-high-rate qLDPC code families with an encoding rate close to 50% - effectively two physical qubits per logical qubit - with memory error rates projected in the 10[−13] regime. Such codes could dramatically reduce the physical-qubit requirements for gigaquop-class machines and help open a path toward the teraquop regime. On time overhead, QuEra is designing QEC architectures that are not only compact but also fast to run - pairing high-throughput syndrome extraction, low-depth logical operations, and efficient magic-state generation, all co-designed around neutral-atom hardware. This already pays off at the megaquop scale in BB-STAR, a megaquop architecture from QuEra and collaborators that co-designs quantum simulation on a lattice, QEC codes, and neutral-atom hardware together. For prototypical simulations such as transverse-field Ising and Fermi-Hubbard dynamics, BB-STAR cuts space-time costs by orders of magnitude - a concrete, Libra-scale case study where co-design makes useful computations far more practical. For gigaquop-scale systems, QuEra is extending the co-design principle to the dominant operations in fault-tolerant computation. Syndrome extraction, the most frequent error-correction operation, must be high-throughput and low-depth. In QuEra's recent work on ultra-high-rate qLDPC codes, this means searching not only for high encoding-rate codes, but also for efficient syndrome measurements with parallel hardware controls. The same principle applies to magic-state generation, often the most expensive fault-tolerant operation. A recent example of tricycle codes developed by Harvard researchers shows that high-rate magic can be generated by low-depth, efficient circuits. These examples show why flexibility is central to QuEra's approach: flexible connectivity, parallelism, and distinct operating zones allow QuEra Computing Inc. combine the codes, and reconfigure around better ones as they are discovered, all within a single device. Finally, scaling beyond Libra also requires accelerated QEC decoding. As systems grow, error correction must process a rising stream of syndrome data and produce corrections without allowing classical latency to bottleneck the quantum computation. QuEra is collaborating with NVIDIA to pair QuEra's quantum processors with the NVIDIA platform for quantum-GPU supercomputing, including for real-time error correction at scale. Recent work from Harvard collaborators on neural-network decoders also points to a path in which fast inference can support real-time quantum execution for advanced codes. "Building logical qubits at scale requires supercomputers integrating high-performance quantum processors with state-of-the-art accelerated computing for tasks such as quantum error correction and qubit calibration," said Timothy Costa, Vice President and General Manager for Quantum at NVIDIA. "QuEra's roadmap and the QuEra and NVIDIA collaboration demonstrate how leadership in fault-tolerant quantum systems, AI, and accelerated computing can come together to enable useful hybrid quantum-classical applications at scale." QuEra's accelerated roadmap is built on major scientific advances made possible by support from the Defense Advanced Research Projects Agency (DARPA), through its ONISQ, MeasQuIT, and Small Business Innovation Research (SBIR) programs; the Intelligence Advanced Research Projects Activity (IARPA), through its ELQ program; the Department of Energy's Quantum Systems Accelerator, part of the National Quantum Initiative; and the National Science Foundation. QuEra and its partners gratefully acknowledge this essential support and look forward to continued collaboration as QuEra Computing Inc. enter the era of practical, fault-tolerant quantum computing. A call for solutions. Alongside the roadmap, QuEra opened a call for solutions through its FTQC Founders Circle, a program for organizations serious about a multi-year fault-tolerant collaboration. The company is inviting enterprises, HPC centers, and government programs to bring their highest-value problems as candidate applications. Selected participants will work with QuEra's scientific and applications teams to evaluate candidate use cases, co-design fault-tolerant algorithms, and establish a path toward priority system access where technical and business fit are clear. The rationale is timing. With early co-design across applications, algorithms, QEC codes, compilation, and hardware implementation, the number of physical qubits, runtime, and decoding overhead required for fault-tolerant algorithms can be reduced significantly. Mapping a hard problem onto fault-tolerant hardware is therefore a multi-year optimization process that should begin before gigaquop-class systems come online. "A roadmap is only useful when customers can act on it," said Yuval Boger, Chief Commercial Officer at QuEra. "With this call for solutions, we are inviting organizations to bring their highest-value problems into a co-design process for fault-tolerant systems. The organizations that begin now will define the first wave of useful quantum applications, rather than waiting to see what others build." QuEra presented its full roadmap, including Libra and subsequent systems, during its June 24 webinar. A replay is available at www.quera.com/26roadmap. * Respond to the call for solutions. Organizations can apply to the FTQC Founders Circle at www.quera.com/get-started. * Schedule a private briefing. A limited number of confidential sessions with QuEra leadership are available at www.quera.com/ftqc-briefing. * Meet the QuEra team at Quantum.Tech World in Boston, June 25 to 26, Booth F12.

SiliconANGLE Media
Jun 15th, 2026
AWS and QuEra lay out roadmap to fault-tolerant quantum computing in next two years.

AWS and QuEra lay out roadmap to fault-tolerant quantum computing in next two years. Amazon Web Services Inc. has long been at the forefront of a host of companies racing to transform quantum computing from a theory to reality, and it believes it's finally on course to make that happen thanks to a newly established partnership with QuEra Computing Inc. The partners are working together to bring the world's first fault-tolerant quantum computers to the AWS cloud within the next two years. By 2028, AWS promised today, it will make it possible for researchers to tackle some of the world's most complex scientific problems using quantum machines with unprecedented computing power. QuEra is a U.S. quantum computing startup founded in 2018 by researchers from Harvard University and the Massachusetts Institute of Technology. It specializes in an approach known as "neural atom" quantum computing, which leverages Rydberg atoms to accelerate quantum calculations. Rydberg atoms are "excited" atoms that have one or more electrons in a highly charged state and are characterized by a very high principal quantum number, which means they can interact strongly with electric and magnetic fields. This is a key detail because the No. 1 problem with quantum computing is fault tolerance. The "qubits," which are akin to the "bits" in traditional computers, are notoriously unstable because of the way they're so sensitive to any force that interacts with them. Something such as the vibration of a needle falling onto the floor, or the fluctuations of the Earth's magnetic field, is enough to throw them off, resulting in errors in a quantum computer's calculations. Solving this challenge is critical to building working quantum machines. While the likes of IBM Corp. and Google LLC are pursuing an approach known as "superconducting circuits," which keep almost frozen solid at close to absolute zero temperatures, QuEra's qubits are controlled using tightly focused lasers, which arrange individual Rydberg atoms into stable arrays. QuEra has been a key strategic partner of AWS for some time already. It launched its first 256-qubit analog Rydberg device, called Aqulia, on AWS bracket back in 2022 as a kind of proof-of-concept. AWS Braket is Amazon's fully managed quantum computing cloud service, which provides developers and researchers with access to a range of different quantum computers, including IonQ Inc.'s Forte and Aria systems, Rigetti Computing Inc.'s Ankaa and Aspen machines, and Alpine Quantum Technologies GmbH's IBEX Q1 system. AWS Braket is tightly integrated with AWS's classical cloud computing resources, enabling so-called "hybrid" classical-quantum workloads. The path to fault-tolerant quantum computing. AWS said the expanded partnership with QuEra is a major step towards fulfilling its broader vision, which sees quantum computing evolving to become a foundational everyday compute modality. In the near future, it believes that it will be common for quantum processors to work alongside standard computing chips and artificial intelligence accelerators to solve challenges that are currently impossible. The company is targeting 2028 for this to happen. That's when they plan to launch QuEra's upcoming Libra system on AWS Braket. It's a "megaquop-scale" machine that will be able to execute one million quantum operations per second over hundreds of logical, error-corrected qubits, AWS said. It's an unprecedented number, and if the companies can achieve this, it will pave the way for commercial breakthroughs in areas like advanced materials simulation, high-energy physics and quantum chemistry, they promise. But to get there, they're going to need to solve the problem of quantum errors once and for all. QuEra believes it's on track to do this, and in the last two years has successfully demonstrated the potential of Rydberg atoms to scale in spatial dimensions to support the coherent operation of thousands of qubits simultaneously, in a single computing module. The lasers in QuEra's neural-atom architecture act like optical tweezers, and are used to adjust each individual atom on the fly to ensure it doesn't lose its quantum state. They enable dynamic reconfiguration to ensure quantum stability at the scale of thousands of qubits. "This is a very special moment," said QuEra Chief Science Officer Professor Mikhail Lukin. "For the first time, a dream of realizing useful, fault-tolerant quantum computers is in our direct line of sight. Designed to enable quantum computation at an unprecedented scale, these systems should realize truly unique applications." The 2028 target date is ambitious, but the partners say that this date is really just the starting point. In future, they plan to optimize and scale the Libra system to support commercial applications in other areas, such as drug design and financial services. The company doesn't believe that the quantum computing race will be won by a single company. Just as companies use different types of databases and compute instances, based on the workload they're running, they'll likely use different quantum systems for specific applications. It says it's likely that the competing quantum architectures will eventually find their own niche, which is why it's pursuing its own initiative based on "cat-qubits" through the AWS Center for Quantum Computing. Photo: QuEra Computing. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. 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