Quantum singular value decomposer
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Inclou dades d'ús des de 2022
Cita com:
hdl:2117/346264
Tipus de documentText en actes de congrés
Data publicació2021-05
EditorBarcelona Supercomputing Center
Condicions d'accésAccés obert
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Abstract
Quantum computing is emerging as a new computational
paradigm that promises substantial speed-ups (exponential in
some cases [1]) for a variety of problems, with a potentiallylarge
impact on science, knowledge and society. Quantum
computers will harness the strange-looking laws of Quantum
Mechanics to accelerate many computations by orders of
magnitude [2]. However, they will require error-correction
protocols before many important algorithms can be run on
these machines. These will demand a large number of highquality
qubits, which imply a much longer time of arrival for
this technology, if it is to be “fully-fledged” and incorporate
these schemes.
For this reason, researchers have begun to heavily investigate
about possible uses of the first generations of quantum
computers that will not incorporate error correction but that
nonetheless may surpass the capabilities of even the largest
classical supercomputers in the world. These computers have
been termed Noisy Intermediate-Scale Quantum (NISQ) computers
[3]. A particularly appealing choice of quantum programs
to be run on these machines are the so-called variational
quantum circuits, or Quantum Neural Networks (QNN). These
are hybrid algorithms that will coordinate both a classical and
a quantum computer to preform a computation, and need to
be specifically designed for each application.
CitacióBravo-Prieto, C.; García-Martín, D.; Latorre, J.I. Quantum singular value decomposer. A: . Barcelona Supercomputing Center, 2021, p. 28-29.
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