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Quantinuum signs university partnership. 34 min ago WA enterprises across mining, energy, and agriculture could soon tap into next-generation computational muscle following an agreement between the University of Western Australia and quantum computing leader Quantinuum. SUBSCRIPTION REQUIRED

D-Wave Quantum and Quantinuum are experiencing significant share price declines as investor appetite for speculative quantum computing stocks wanes. QBTS has fallen 27.7% over three months, whilst QNT dropped 25.1%. The Federal Reserve raised its benchmark rate by 25 basis points to 3.75%-4.00% on 16 September, its first increase since July 2023. Combined with Brent crude exceeding $100 per barrel and 10-year Treasury yields nearing 5%, the macro environment has turned hostile for high-duration technology stocks. D-Wave reported second-quarter revenues of $3.1 million, flat year over year, though bookings rose 59%. Its adjusted EBITDA loss widened 85% as development spending increased. Quantinuum's second-quarter revenues jumped 279%, with projected 2026 revenues of $28-$32 million. However, its adjusted EBITDA loss reached $68 million. Management does not expect positive free cash flow until later this decade.

Sandia, Quantinuum, and NVIDIA introduce QUOPS framework to benchmark physical and logical quantum performance. A research collaboration led by Sandia National Laboratories, in partnership with Quantinuum and NVIDIA, has introduced the Quantum Universal Operations Performance System (QUOPS). Detailed in a multi-institution paper published on arXiv (arXiv:2609.12146), QUOPS is an architecture-agnostic benchmarking framework designed to measure integrated quantum computer performance across both physical- and logical-qubit platforms, addressing limits in traditional component-level metrics such as raw qubit count or isolated gate fidelities. QUOPS evaluates full system execution - incorporating compilation, error correction, syndrome decoding, and error mitigation - by executing randomized layers of arbitrary-angle single-qubit rotations, RP(θ), and CNOT gates across varying circuit widths (w) and depths. The benchmark yields two top-level system metrics: Q (QUOPS score), which defines the maximum circuit size s = 2 x w x depth successfully executed within a utility-motivated geometric volume (w[2] <= s <= w[3]) at a minimum mean process polarization threshold of 1/√e ≈ 61%; and Ω (QUOPS rate), which measures the net operational throughput in executed operations per second while accounting for sampling overheads from error mitigation or postselection. The publication provides direct cross-platform baseline measurements across leading hardware: Quantinuum's Helios-1 achieved a physical score of Q = 1,504 (1,824 under leakage postselection), Google's Willow achieved Q = 216 at 2.0 x 10[7] QUOPS/s, and IBM's ibm_boston reached Q = 204 at 3.1 x 10[5] QUOPS/s. Additionally, the team executed QUOPS on a fully fault-tolerant logical architecture using up to 8 Steane-encoded [[7,1,3]] logical qubits on Helios-1, demonstrating logical Clifford+T circuit execution with active magic-state injection and syndrome extraction to achieve Q = 40 at Ω = 4.9 QUOPS/s. By mapping resource requirements for canonical utility challenge problems into effective QUOPS circuit sizes - estimating targets of Q ≈ 2.5 x 10[8] for factoring RSA-2048 and Q ≈ 3.4 x 10[8] for FeMoco energy eigenvalue calculations - the framework quantifies the 5-order-of-magnitude gap remaining between contemporary hardware and utility-scale application requirements, establishing a standardized metric for government procurement, hardware roadmaps, and fault-tolerant architectural verification. Review the technical overview on Quantinuum here, access the peer-reviewed preprint on arXiv here, and inspect open-source benchmark implementations on GitHub here. September 14, 2026