• D‑Wave published a press release on August 4, 2025, announcing the release of an open‑source quantum AI toolkit that integrates its annealing QPUs with PyTorch, allowing developers to build machine‑learning models like restricted Boltzmann machines. 

• The accompanying demo demonstrates how the toolkit can be used to generate simple images via quantum-enhanced generative AI. 

• Use cases already underway include a drug‑discovery proof‑of‑concept with Japan Tobacco Inc., enhanced protein‑DNA binding prediction with Forschungszentrum Jülich, and high‑energy physics simulations with TRIUMF.

• On August 4, 2025, IBM researchers announced Relay-BP, which they describe as the fastest and most accurate quantum low-density parity-check (qLDPC) decoder yet. The release includes links to the open-access preprint and source code, making it available for the broader research community to explore and build upon.

• Internal benchmarks show up to 10× better accuracy compared to BP+OSD decoders, while maintaining the speed and compactness necessary for FPGA-based real-time decoding—critical for practical fault-tolerant quantum computing.

• IBM plans to integrate Relay-BP into real-device testing as early as 2026, aligning it with the company’s multi-year roadmap toward scalable, fault-tolerant quantum systems.

• In collaboration, IBM and Moderna used IBM’s R2 Heron quantum processor (up to 80 qubits) to simulate a 60-nucleotide mRNA structure—setting a new simulation length record.

• Their quantum simulation included complex features like pseudoknots that traditional methods often exclude.

• Future scaling targets include simulations with up to 354 qubits for even more accurate modeling.

Quantum Research Scientist - Google

Quantum Engineer - Atom Computing

Director, Quantum Applications - IonQ

Hardware Engineer, Microwave Design, Quantum AI - Google

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