The University of British Columbia’s (UBC) Quantum Matter Institute is the recipient of a $65.5 million investment from the Canada First Research Excellence Fund.
Two distinct types of qubits, representing two pathways for building a quantum computer in silicon, have been created that process quantum data with error rates lower than 1%. One team from UNSW Australia made a silicon “artificial-atom” qubit with a device similar to the transistors in consumer electronics, while another from the same university has achieved an accuracy approaching 99.99% with a two-qubit phosphorus atom.
Vern Brownell, CEO of D-Wave Systems, answers questions about its customers and quantum machines’ readiness for real-world applications. Brownell highlights 1QBit’s work exploring and developing these applications and DNA-Seq’s efforts in cancer therapy.
In CNN’s story on portfolio optimization and risk management problems being “huge workloads” on Wall Street, D-Wave points to other areas of finance that could reap the rewards of quantum computing: developing trading strategies, mapping market correlations, pricing structured asset-backed securities, and capital project budgeting.
Brad Templeton, Board Member and Former Chair of the Electronic Frontier Foundation and the Track Chair for Computing at Singularity University, discusses the implications of a theoretical quantum computer that could crack current cryptographic methods by quickly solving the extremely difficult mathematical problems involved.
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