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Quantum Computing, Inc. (QCi) has announced the sale of its quantum LiDAR prototype to Johns Hopkins University, marking a significant breakthrough in underwater LiDAR technology. Valued at $200,000, the prototype boasts a remarkable resolution of 3mm and operates at depths of up to 30 meters. It utilizes single-photon detection technology, coupled with a green laser at 532nm wavelength, strategically chosen for its superior penetration of water. This system enables precise underwater imaging and measurement of faint signals bounced back by single photons, enhancing sensitivity to an exceptional degree. The collaboration with Johns Hopkins aims to advance environmental and oceanographic studies, providing [...]

Xanadu, a Toronto-based quantum computing company, has become the first Canadian corporate partner to join the Chicago Quantum Exchange (CQE). Founded in 2016, Xanadu specializes in photonic quantum computing and leads the development of PennyLane, an open-source software library for quantum programming. Xanadu collaborates with academic institutions and research labs to advance quantum education. The company's mission aligns with the CQE's goal to advance quantum information science and engineering. By joining the CQE, Xanadu aims to empower the next generation of quantum programmers and drive applied research for practical quantum computing solutions. Additionally, Xanadu's involvement extends to The Bloch Quantum initiative, [...]

Chart Showing the Possible Evolution of Quantum Threats. Source: GQI's State of Play Presentation There was a recent flurry of concern over the strength of the Lattice based encryption algorithms approved by NIST due to a paper titled Quantum Algorithms for Lattice Problems published earlier this month by Yilei Chen, a professor at the Tsinghua University Institute for Interdisciplinary Information Science (IIIS). Two algorithms this would possibly have affected include ML-KEM (CRYSTALS-Kyber) and ML-DSA (CRYSTALS-Dilithium) which use an LWE (Learning with Errors) approach. These algorithms are based upon the computationally hard problems of determining the length of the shortest nonzero vector [...]

The Chicago Quantum Exchange (CQE) has received a $1 million grant from the National Science Foundation (NSF) to strengthen quantum technologies and economic development in the Midwest. This grant is part of the NSF Regional Innovation Engines program, which supports key technology areas to maintain US global competitiveness. The award will enable a multi-sector coalition led by CQE to create data-driven strategies for commercializing quantum technologies and training workers for the growing quantum economy. It builds on the region's designation as a Phase 1 US Tech Hub for quantum technologies, underscoring the region's role as a major player in quantum research [...]

German quantum technology company Q.ANT has developed a breakthrough quantum magnetic field sensor that can control prostheses, exoskeletons, and avatars using neural signals. The sensor's precision allows it to measure fine electrical currents through their magnetic fields, providing native and intuitive access to biosignals. It can control prosthetic limbs via muscle signals, bringing significant advancements to medical technology. The sensor, with a compact design similar to a sunglass case, is highly sensitive and suitable for everyday use, making it accessible for various industrial applications such as quality assurance of hard disks and fault detection in power chips or batteries. Q.ANT's magnetic [...]

D-Wave Quantum Inc. has announced the launch of a new fast-anneal feature available on all its quantum processing units (QPUs) within its Leap™ real-time quantum cloud service. This feature, which has been a key element of D-Wave’s recent research milestones published in Nature Physics and Nature, offers users the ability to perform quantum computations at unprecedented speeds, significantly reducing the impact of external disturbances such as thermal fluctuations and noise. Fast Anneal provides extended control for faster annealing times, enabling users to replicate and build upon D-Wave’s landmark optimization results. Previously the fast anneal feature required custom calibration refinement. D-Wave has [...]