Cambridge Quantum Computing has demonstrated Variational Inference on quantum computers for the first time. Results are encouraging, indicating a promising new approach in quantum machine learning.
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IBM detailed its plans for realizing full-scale quantum computers by 2030. Latest updates promise 100x faster circuit execution, greater algorithmic complexities, and a tamed barrier to entry for QC.
Orquestra, a software platform for designing and running quantum algorithms, is out of Early Access. Support for Honeywell's System Model HØ and quantum hardware from Amazon and IBM has been added.
Amazon Braket is now generally available. It supports local simulation of quantum algorithms on EC2 instances and provides access to real quantum computing hardware from D-Wave, IonQ, and Rigetti.
IBM has announced that the company will no longer be selling facial recognition services and has called for a national dialogue on whether the systems should be employed by authorities at all.
At CES 2020, the expansion of the IBM Q Network was announced to now include over 100 leading organizations and institutions like Goldman Sachs, Anthem, and Stanford University, among others.
Under the Japan - IBM Quantum Partnership, IBM and the University of Tokyo will install an IBM Q System One in Japan and establish a novel quantum system technology center, among other things.
Researchers at IBM showed that by conservative worst-case estimates, the same task that would have allegedly taken 10,000 years to solve on a classical computer, can instead be solved in 2.5 days.
The new 53-qubit system will boast a larger lattice allowing more complex entanglement and connectivity experiments to run. The NYC data center will have 14 quantum computers by the end of next month.
The company doubles down on its commitment to making a quantum-ready community by releasing new IBM Q Experience hardware, an open-source textbook, a university hackathon partner program, and more.