August 22, 2026

Quantum X Labs Tests AI Quantum Error Decoder on Google Hardware DatasetTier 2

Previously: 2026-07-10

Disassembling qLDPC codes for depth-optimal parity-check circuitsTier 3

Quantum low-density parity-check (qLDPC) codes offer a promising route to scalable fault-tolerant quantum computing, but their practical implementation requires efficient circuits for syndrome extraction. Many qLDPC families are assembled from a small set of components through explicit constructions that imprint edge symmetries on their Tanner graphs. We show that these symm...

Lensing and enhanced single atom detection via a single-pixel nanostructureTier 3

We propose and demonstrate a general mechanism for nanoscale lensing based on the phase gradient imposed by a single nanostructure scattering light in its near-field. We verify this effect using an optical waveguide on a substrate, with single atoms serving as quantum probes that sample the near-field intensity through their fluorescence. This quantum probing technique provi...

Quantum X Labs Outperforms PyMatching Benchmarks on Google Quantum Hardware Surface-Code Dataset Using NVIDIA CUDA-QTier 2

Quantum software developer Quantum X Labs Inc. (Nasdaq: QXL) has announced new performance results from its AI-driven quantum error correction (QEC) decoder program. Testing its updated model against Google’s public surface-code experimental dataset, Quantum X Labs demonstrated improved decoding accuracy compared to standard matching-family baselines—including Google's pu...

Previously: 2026-07-10

Cornell Researchers Lower Tantalum Qubit Deposition Temperature to 200°C Using Krypton Gas SputteringTier 2

A research team led by Cornell University Assistant Professor Valla Fatemi has developed a low-temperature fabrication process for tantalum-based superconducting qubits, resolving a major manufacturing bottleneck for superconducting quantum processing units (QPUs). Detailed in Nature Materials ("Krypton-sputtered tantalum films for scalable high-performance quantum device...

Imaginary time evolution of a quantum system through analytic continuation from real-time quantum simulationTier 3

Though quantum computing naturally offers an advantage for simulations of real-time quantum systems, implementing Imaginary-Time Evolution (ITE) is comparatively more difficult. Nevertheless, quantum implementations of ITE are useful both in cases where classical implementations have associated sign problems, and also as an exact method of preparing eigenstates on quantum co...

What Is NISQ Quantum Computing: The Current Era of Quantum MachinesTier 2

Berkeley Lab-Led Project Secures Funding to Develop a Transportable Muon ImagerTier 2

Q2B Copenhagen 2026 to Focus on Quantum Technology and Commercial AdoptionTier 2

Brookhaven Lab and Stony Brook Demonstrate First US Free-Space Quantum Network Link Across 13 MilesTier 2

A map shows Brookhaven National Laboratory, Stony Brook University, and Yale University — the three institutions hosting facilities that form a free-space optical (FSO) link. Researchers at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and Stony Brook University (SUNY) have demonstrated the first permanent free-space optical (FSO) quantum link in th...

ORNL Researcher Advances Particle Detection for the Electron-Ion ColliderTier 2

Crypto4A QASM Module Achieves FIPS 140-3 Level 3 ValidationTier 2