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(Keynote) Devices Architectures and Technology for Quantum Computing

哲夫 小寺, Tetsuo Kodera, 浩介 堀部, Kosuke Horibe, 俊理 小田, Shunri Oda

Published Oct 1, 2015• 0 citations
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Keynote

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. The potential of quantum computing to deliver compelling performance to a wide range of demanding applications is generating tremendous excitement. This talk will review the promise and the challenges to achieving large-scale quantum computers capable of real-world applications. Intel's research to address the challenges spans the entire quantum computer system, from qubit devices to the hardware and software required to control these devices and the quantum algorithms that will harness the power of quantum technologies.

IEEE Symposium on Computer Arithmetic (ARITH)•Jun 1, 2021•0 citations

Quantum simulation of quantum field theory using continuous variables

Kevin Marshall, Raphael C. Pooser, George Siopsis +1 more

The year 1982 is often credited as the year that theoretical quantum computing was started with a keynote speech by Richard Feynman, who proposed a universal quantum simulator, the idea being that if you had such a machine you could in principle ``imitate any quantum system, including the physical world.'' With that in mind, we present an algorithm for a continuous-variable quantum computing architecture which gives an exponential speedup over the best-known classical methods. Specifically, this relates to efficiently calculating the scattering amplitudes in scalar bosonic quantum field theory, a problem that is believed to be hard using a classical computer. Building on this, we give an experimental implementation based on continuous-variable states that is feasible with today's technology.

arXiv:1503.08121•Physical Review A•Dec 14, 2015•73 citations
Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. The potential of quantum computing to deliver compelling performance to a wide range of demanding applications is generating tremendous excitement. This talk will review the promise and the challenges to achieving large-scale quantum computers capable of real-world applications. Intel's research to address the challenges spans the entire quantum computer system, from qubit devices to the hardware and software required to control these devices and the quantum algorithms that will harness the power of quantum technologies.
The year 1982 is often credited as the year that theoretical quantum computing was started with a keynote speech by Richard Feynman, who proposed a universal quantum simulator, the idea being that if you had such a machine you could in principle ``imitate any quantum system, including the physical world.'' With that in mind, we present an algorithm for a continuous-variable quantum computing architecture which gives an exponential speedup over the best-known classical methods. Specifically, this relates to efficiently calculating the scattering amplitudes in scalar bosonic quantum field theory, a problem that is believed to be hard using a classical computer. Building on this, we give an experimental implementation based on continuous-variable states that is feasible with today's technology.