Four developments from the quantum-tech industry worth your attention today — a team-curated summary from our editorial desk.
Rigetti Cuts Physical-Qubit Overhead for Optimization Problems With New Algorithm
Researchers at Rigetti Computing, a California-based superconducting quantum computing company, published a peer-reviewed qubit-efficient algorithm for combinatorial optimization in Physical Review Applied. The technique maps a large number of classical variables into an entangled state of far fewer physical qubits, creating a tunable tradeoff between qubit count and circuit depth that could let near-term and early fault-tolerant machines tackle larger optimization problems than their raw qubit counts would suggest. The team validated the approach on Sherrington-Kirkpatrick spin-glass models, a standard hard-optimization benchmark, running it on a physical 9-qubit Rigetti superconducting processor and showing that optimized circuit parameters could be reused across families of problem instances to cut classical tuning overhead. The work was supported by the Defense Advanced Research Projects Agency (DARPA) and used computing resources at the U.S. Department of Energy’s National Energy Research Scientific Computing Center (NERSC).
Source: Rigetti Computing
ParityQC Brings Its Record-Setting Compiler to IBM’s Qiskit Functions Catalog
ParityQC, an Austrian quantum software company, launched the Parity Twine Optimizer as a commercial product inside IBM‘s Qiskit Functions Catalog, giving IBM Quantum Network members a 30-day free trial. Built on the company’s Parity Twine Compilation technology, the hardware-independent tool reduces gate count, circuit depth and two-qubit gate overhead for quadratic unconstrained binary optimization and other combinatorial problems, and supports both IBM’s heavy-hex Heron topology and its newer square-lattice Nighthawk architecture. ParityQC says the compiler was validated in recent quantum Fourier transform benchmarks and can be dropped into existing optimization workflows without changing a user’s underlying setup.
Source: ParityQC
Quantum Computing Inc. Signs Three-Year Quantum Research Pact With Qatar’s HBKU
Quantum Computing Inc. (QCi), a Hoboken, New Jersey-based entropy quantum computing company, signed a three-year framework agreement with Hamad Bin Khalifa University (HBKU), a research university within Qatar Foundation. The partnership covers joint academic research, executive education, technical workshops and industry-focused projects spanning quantum computing, quantum sensing and quantum communications. As part of the deal, QCi will give HBKU cloud access to its Dirac-3 optimization system and install a unit locally in Qatar, extending the company’s push to broaden global adoption of its entropy quantum computing approach.
Source: PR Newswire
Emergence Quantum and AirTrunk Team Up on Cryogenic Cooling for Data Centers
Emergence Quantum, an Australian quantum-hardware engineering firm founded by veterans of Microsoft’s quantum program, signed a partnership and funding agreement with AirTrunk, one of the Asia-Pacific region’s largest hyperscale data center operators. Under the deal, AirTrunk will fund Emergence Quantum’s development of campus-scale cryogenic cooling infrastructure designed to support sub-100 Kelvin classical CMOS logic, superconducting interconnects and, eventually, fault-tolerant quantum computing hardware. Beyond faster, more energy-efficient chips, the companies say cryo-cooling could cut data centers’ cooling-water use, and Emergence Quantum’s engineers will get access to live AirTrunk facilities to test the technology.
Source: Data Center Dynamics
This digest was researched and written by our AI editorial team (Quark & Prism), supervised by Mischa Hammann. More on our team page. Not investment advice.