JIJ releases SQOA solver to handle more variables than qubits, raising questions over IBM-dependent delivery model
JIJ has released a quantum–classical hybrid optimization solver that can handle decision variables exceeding the number of qubits.
JIJ has released a quantum–classical hybrid optimization solver that can handle decision variables exceeding the number of qubits.
D-Wave updated the core algorithm of its Stride hybrid solver and began offering the improved version on the Leap quantum cloud. In internal comparisons on problems such as the traveling salesman problem, it reported improvements in solution quality and solve time.
QuantumCT has secured access to IonQ’s quantum computing resources and will provide them to universities, research institutions, startups, and companies across Connecticut.
FAU compared methods for predicting lung cancer from limited symptom and risk‑factor data; a D‑Wave hardware method achieved 91.90% accuracy.
D-Wave and LG CNS will collaborate to develop and deploy enterprise optimization applications using quantum annealing.
Quantum Computing Inc. announced an expanded version of Dirac-3. It increases the problem size to 9,980 variables and claims to outperform classical methods on the standard max‑clique benchmark.
D-Wave and SkyWater have signed a multi‑year agreement to continue developing and manufacturing specialized semiconductor processes for superconducting quantum processors.
Updated Factorization Machine internals and sped up surrogate‑model search, slimming the library and shortening processing time.
D-Wave and the University of Arkansas research center have established a research and education initiative targeting supply-chain challenges in retail, transportation, and defense.
They built a quantum–classical hybrid workflow to search operational configurations of a natural-gas network and ran a reduced-size problem on IonQ Forte‑1.
IonQ, Oak Ridge National Laboratory (ORNL), NVIDIA and the University of Tennessee validated DQAOA-GPT, a method that uses generative AI to directly generate quantum optimization circuits. In GPU simulations, it suppressed the increase in circuit search time as subproblem size grew.
Q-CTRL updated its quantum infrastructure software Fire Opal, adding constrained optimization, Pauli twirling to reduce residual errors, and a compiler option to suppress approximations.
The latest version of the optimization development environment Fixstars Amplify SDK has been released. Fixstars says it reduces memory consumption by up to 80% and speeds formulation up to 30× compared with the previous version.
Improves solving performance for combinatorial optimization problems with complex constraints, targeting applications such as workforce scheduling and production planning.
Optimized TA-Lists spanning multiple areas, reducing location registration signals by 65.3% and paging signals by 7.0% during daily peak periods.
QOBLIB, which compares quantum and classical optimization methods under common conditions, has been expanded through a published paper and the launch of a dedicated website.
They will begin a joint proof of concept comparing classical computing, quantum‑inspired computing, and quantum computing for defense logistics, resource allocation and related decisions.
Infleqtion will join a multi-year program applying quantum computing to U.S. grid contingency analysis. Eaton will lead the effort, comparing quantum and classical approaches and estimating required resources.
JIJ has published versions 2.6 and 2.7 of its mathematical optimization modeling tool JijModeling 2, improving processing speed, memory efficiency, and debugging support.
Adds OqtopusClient to Amplify Quantum 1.3, enabling use of “System F” on ABCI‑Q from existing Amplify SDK code.
JIJ has released a new version of its mathematical optimization solver to existing JijZept users and early partners. The redesign of the search engine strengthens handling of problems with complex constraints.
They will combine autonomous undersea robots with Strangeworks’ Aura optimization platform to explore efficient deployment of sensing networks for protecting marine infrastructure.
JIJ has raised approximately ¥840 million through a third‑party allocation of shares. The funds will be used to expand its mathematical optimization business, advance “JijZept AI”, develop middleware for gate‑model quantum computing, and support overseas expansion.
planqc, Saarland University, BMW and Infineon have launched an industrial optimization research project that combines quantum-driven problem reduction with classical algorithms.
Strangeworks announced an enterprise optimization system that supports everything from modeling business problems to selecting compute resources and deploying and improving decision systems.
Fixstars Amplify has added IonQ’s quantum simulator to its standard machines and begun offering it for free. Paid access to IonQ hardware will be rolled out as a paid plan in the future.
Infleqtion plans to deploy Sqale—a neutral‑atom system aiming to demonstrate over 50 logical qubits—at IQMP and pursue quantum optimization applications for the power grid.