
We introduce a quantum approximate optimization algorithm (QAOA) for continuous optimization. The algorithm is based on the dynamics of a quantum system moving in an energy potential which encodes the objective function. By approximating the dynamics at finite time steps, the algorithm can be expressed as alternating evolution under…
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Molecular Docking with Gaussian Boson Sampling
February 2019
Gaussian Boson Samplers are photonic quantum devices with the potential to perform tasks that are intractable for classical systems. As with other nearterm quantum technologies, an outstanding challenge is to identify specific problems of practical interest where these quantum devices can prove useful.
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Molecular Docking with Gaussian Boson Sampling
February 2019
Gaussian Boson Samplers are photonic quantum devices with the potential to perform tasks that are intractable for classical systems. As with other nearterm quantum technologies, an outstanding challenge is to identify specific problems of practical interest where these quantum devices can prove useful.
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We introduce a quantum approximate optimization algorithm (QAOA) for continuous optimization. The algorithm is based on the dynamics of a quantum system moving in an energy potential which encodes the objective function.
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Nonlinear coupling of linearly uncoupled resonators
January 2019
We demonstrate a system composed of two resonators that are coupled solely through a nonlinear interaction, and where the linear properties of each resonator can be controlled locally.
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We present a hybrid linearoptical architecture that simultaneously exploits spatial and temporal degrees of freedom of light to effect arbitrary discrete unitary transformations.
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Linear multiport photonic interferometers: loss analysis of temporallyencoded architectures
December 2018
Implementing spatiallyencoded universal linear multiport interferometers on integrated photonic platforms with high controllability becomes increasingly difficult as the number of modes increases.
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Evaluating analytic gradients on quantum hardware
November 2018
An important application for nearterm quantum computing lies in optimization tasks, with applications ranging from quantum chemistry and drug discovery to machine learning.
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Exact gate decompositions for photonic quantum computing
November 2018
We propose a method for decomposing continuousvariable operations into a universal gate set, without the use of any approximations. We fully characterize a set of transformations admitting exact decompositions and describe a process for obtaining them systematically.
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Nonnegativity for hafnians of certain matrices
November 2018
We show that a certain class of complex symmetric matrices has a nonnegative hafnian. These are positive scalar multiples of matrices that are encodable in a Gaussian boson sampler.
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A faster calculation of FranckCondon factors and Fock matrix elements of Gaussian unitaries using loop hafnians
November 2018
The FranckCondon Factor (FCF) associated to a transition between initial and final vibrational states in two different potential energy surfaces is equivalent to calculating the number of perfect matchings of a weighted graph with loops that has P=N+M vertices.
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PennyLane is a Python 3 software framework for optimization and machine learning of quantum and hybrid quantumclassical computations. The library provides a unified architecture for nearterm quantum computing devices, supporting both qubit and continuousvariable paradigms.
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