Quantum New Briefs October 11: Eviden Drives Quantum Adoption with Installation of IQM Spark Quantum Computer • New Single Photon Detector on Silicon Photonics Platform Charts Path for Highly Integrated Room Temperature Quantum Computer • Altair and Technical University of Munich Tackle Key Challenges in Quantum CFD Research • Google’s Sycamore Quantum Computer Chip Can Now Outperform the Fastest Supercomputers, New Study Suggests
Eviden Drives Quantum Adoption with Installation of IQM Spark Quantum Computer
Eviden, the Atos Group business leading in advanced computing, has announced a new partnership with IQM Quantum Computers to make quantum computing a reality across businesses and organizations.
While performance is key, the stability and fidelity of the qubits have become a crucial element in the near quantum revolution to run accurate operations. To 
tackle this challenge, IQM Spark is a superconducting quantum computer which offers high single-qubit and two-qubit gates fidelity, ensuring reliable and accurate quantum applications.
Eviden has therefore installed IQM Spark, a quantum computer tailored for educational purposes and experimental research, for its customers to learn, experiment, and start developing real-life quantum proofs-of-concept. With this significant milestone in the journey toward quantum adoption, Eviden reaffirms its dedication and commitment to making quantum computing technology more accessible to everyone.
New Single Photon Detector on Silicon Photonics Platform Charts Path for Highly Integrated Room Temperature Quantum Computer
Artilux, the leader of GeSi (germanium-silicon) photonics technology and pioneer of CMOS (complementary metal-oxide-semiconductor) based SWIR (short-wavelength infrared) single photon detection, announces its collaboration with Dr. Richard A. Soref, a renowned expert widely known as the “father of silicon photonics”, to jointly investigate the field of quantum information processing based on the integrated silicon photonics platform. The first result from this collaboration, recently published in APL Quantum titled “Room-temperature photonic quantum computing in integrated silicon photonics with germanium–silicon single-photon avalanche diodes”, charts a new path for “cryogenics-free” quantum information processing applications.
Altair and Technical University of Munich Tackle Key Challenges in Quantum CFD Research
Altair, a global leader in computational intelligence, and researchers from the Technical University of Munich have announced a major breakthrough in the field of quantum computing for computational fluid dynamics (CFD). The breakthrough, published in the journal Computer Physics Communications, presents runnable code for quantum 
computers and quantum simulators that overcomes several key challenges of the quantum computing implementation of the Lattice-Boltzmann Method.
The effort is a significant contribution to the field of applied quantum computing that underscores Altair’s commitment to pioneering technologies. The paper was co-authored by Altair Vice President of CFD Solutions Christian Janssen and former Altair Chief Technology Officer Uwe Schramm.
The research presents, for the first time, a generic quantum CFD algorithm for three-dimensional CFD. The algorithm has the potential to bring fully nonlinear three-dimensional CFD to the quantum world. This is a game changer for next-generation CFD and simulation-based design as the findings demonstrate the tremendous possibilities in terms of model size and scalability that quantum computing offers compared to classical computing.
It also reinforces that quantum computing isn’t just theoretical but will become a practical tool to tackle real-world problems. It opens a new realm of possibilities in fields traditionally governed by classical physics, like CFD, by enabling the practical application of quantum computing.
In Other News: Live Science Reports “Google’s Sycamore Quantum Computer Chip Can Now Outperform the Fastest Supercomputers, New Study Suggests”
Google Quantum AI researchers have discovered a “stable computationally complex phase” that can be achieved with existing quantum processing units (QPUs), also known as quantum processors, as reported by
This means that when quantum computers enter this specific “weak noise phase,” they can perform computationally complex calculations that outpace the performance of the fastest supercomputers. The research — which was led by Alexis Morvan, a quantum computing researcher at Google — was published Oct. 9 in the journal Nature.
Google Quantum AI representatives told Live Science in an email. “This research is a significant step in that direction. Our next challenge is to demonstrate a ‘beyond classical’ application with real-world impact.”
However, the data produced by quantum computers is still noisy, meaning they still need to do fairly intensive quantum “error correction” as the number of qubits rises in order for the qubits to remain in the “weak noise phase,” they added.
