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1 code implementation • 20 Mar 2020 • Sergey Bravyi, Dmitri Maslov

We show that any Clifford operator can be uniquely written in the canonical form $F_1HSF_2$, where $H$ is a layer of Hadamard gates, $S$ is a permutation of qubits, and $F_i$ are parameterized Hadamard-free circuits chosen from suitable subgroups of the Clifford group.

Quantum Physics Emerging Technologies

no code implementations • 26 Feb 2019 • Yunseong Nam, Jwo-Sy Chen, Neal C. Pisenti, Kenneth Wright, Conor Delaney, Dmitri Maslov, Kenneth R. Brown, Stewart Allen, Jason M. Amini, Joel Apisdorf, Kristin M. Beck, Aleksey Blinov, Vandiver Chaplin, Mika Chmielewski, Coleman Collins, Shantanu Debnath, Andrew M. Ducore, Kai M. Hudek, Matthew Keesan, Sarah M. Kreikemeier, Jonathan Mizrahi, Phil Solomon, Mike Williams, Jaime David Wong-Campos, Christopher Monroe, Jungsang Kim

Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers.

Quantum Physics Emerging Technologies

1 code implementation • 12 May 2018 • Yunseong Nam, Dmitri Maslov

The choice for Hamiltonian dynamics simulation is due to the combination of its usefulness in the study of equilibrium in closed quantum mechanical systems, a low cost in the implementation by quantum algorithms, and the difficulty of classical simulation.

Quantum Physics Emerging Technologies

1 code implementation • 13 Mar 2018 • Yunseong Nam, Yuan Su, Dmitri Maslov

The ability to implement the Quantum Fourier Transform (QFT) efficiently on a quantum computer enables the advantages offered by a variety of fundamental quantum algorithms, such as those for integer factoring, computing discrete logarithm over Abelian groups, and phase estimation.

Quantum Physics Emerging Technologies

1 code implementation • 29 Nov 2017 • Andrew M. Childs, Dmitri Maslov, Yunseong Nam, Neil J. Ross, Yuan Su

With quantum computers of significant size now on the horizon, we should understand how to best exploit their initially limited abilities.

Quantum Physics

4 code implementations • 19 Oct 2017 • Yunseong Nam, Neil J. Ross, Yuan Su, Andrew M. Childs, Dmitri Maslov

We develop and implement automated methods for optimizing quantum circuits of the size and type expected in quantum computations that outperform classical computers.

Quantum Physics Emerging Technologies

1 code implementation • 8 Mar 2013 • Matthew Amy, Dmitri Maslov, Michele Mosca

Most work in quantum circuit optimization has been performed in isolation from the results of quantum fault-tolerance.

Quantum Physics Emerging Technologies

1 code implementation • 31 Dec 2012 • Vadym Kliuchnikov, Dmitri Maslov, Michele Mosca

We present an algorithm, along with its implementation that finds T-optimal approximations of single-qubit Z-rotations using quantum circuits consisting of Clifford and T gates.

Quantum Physics Emerging Technologies

1 code implementation • 22 Jun 2012 • Vadym Kliuchnikov, Dmitri Maslov, Michele Mosca

In this paper, we show the equivalence of the set of unitaries computable by the circuits over the Clifford and T library and the set of unitaries over the ring $\mathbb{Z}[\frac{1}{\sqrt{2}}, i]$, in the single-qubit case.

Quantum Physics Emerging Technologies

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