Q

QuEra Computing

Cloud-access 256-qubit neutral-atom quantum computer

Quantum Scientist - Decoding Theorist

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeBoston, MA, USAIn-person

About the Job

Requirements

  • An advanced degree in Physics, Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent experience.
  • A strong background in quantum error correction, quantum codes, and fault tolerance.
  • Research experience in decoder design and analysis of algorithmic complexity.
  • Experience evaluating decoders using analytical methods, numerical simulation, or both.
  • Strong scientific programming skills for decoder research.

Responsibilities

  • Develop decoder algorithms and advance the theory of quantum error correction for neutral atom quantum computers.
  • Design and analyze decoding methods for quantum memories and fault-tolerant logical circuits, studying how code structure and realistic noise affect logical performance, computational complexity, and scalability.
  • Research algorithmic, machine learning, and hybrid approaches.
  • Work with theory, software, and experimental teams to build reference implementations, perform numerical studies, and identify decoding strategies that improve fault-tolerant quantum computation and inform practical implementation.

Desired Qualifications

  • Experience decoding quantum memories or logical circuits under realistic circuit-level noise.
  • Experience with threshold estimation, finite-size scaling, or theoretical analysis of decoding performance.
  • Experience with machine learning, probabilistic inference, or hybrid methods for quantum error correction decoding.
  • Experience decoding for qLDPC or other quantum codes under loss, correlated errors, or hardware-informed noise models.
  • Experience collaborating with experimental or software teams to connect decoder research with practical constraints.

About the Company

QuEra Computing

Cloud-access 256-qubit neutral-atom quantum computer

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
201-500
Company stage
Series B
Total funding
$278.8M
Headquarters
Boston, MA
Founded
2018

Recently Posted Jobs

Explore more opportunities at QuEra Computing

See more jobs