Papers

L. Glazman, G. Catelani·Mar 9, 2020

Extending the qubit coherence times is a crucial task in building quantum information processing devices. In the three-dimensional cavity implementations of circuit QED, the coherence of superconducting qubits was improved dramatically due to cutting...

Yongxin Yao, Feng Zhang, Caizhuang Wang +2 more·Mar 9, 2020

Rapid progress in noisy intermediate-scale quantum (NISQ) computing technology has led to the development of novel resource-efficient hybrid quantum-classical algorithms, such as the variational quantum eigensolver (VQE), that can address open challe...

J. Moussa·Mar 9, 2020

Classical-quantum computational complexity separations are an important motivation for the long-term development of digital quantum computers, but classical-quantum complexity equivalences are just as important in our present era of noisy intermediat...

Daan Camps, R. Beeumen, Chao Yang·Mar 6, 2020

The fast Fourier transform (FFT) is one of the most successful numerical algorithms of the 20th century and has found numerous applications in many branches of computational science and engineering. The FFT algorithm can be derived from a particular ...

M. Blok, V. Ramasesh, T. Schuster +7 more·Mar 6, 2020

The theory of quantum information provides a common language which links disciplines ranging from cosmology to condensed-matter physics. For example, the delocalization of quantum information in strongly-interacting many-body systems, known as quantu...

·Mar 6, 2020

We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data. This framework offers high-level abstractions for the design and training of both discriminative...

C. Chamberland, Kyungjoo Noh·Mar 6, 2020

Fault-tolerant quantum computing promises significant computational speedup over classical computing for a variety of important problems. One of the biggest challenges for realizing fault-tolerant quantum computing is preparing magic states with suff...

M. Pechal, G. Salis, M. Ganzhorn +3 more·Mar 5, 2020

In circuit-based quantum computing, the available gate set typically consists of single-qubit gates acting on each individual qubit and at least one entangling gate between pairs of qubits. In certain physical architectures, however, some qubits may ...

R. Banerjee, A. Pal, Aditi Sen(De)·Mar 4, 2020

Complete characterization of a noisy multipartite quantum state in terms of entanglement requires full knowledge of how the entanglement content in the state is affected by the spatial distribution of noise in the state. Specifically, we find that if...

S. Raeisi·Mar 4, 2020

The Shannon's bound for compression is believed to be one of the key restrictions for compression of quantum information. Here we show that the unitarity of the compression operation imposes significant restrictions on the compression of the entropy ...

Spencer T. Stober, Stuart M. Harwood, Dimitar Trenev +3 more·Mar 4, 2020

Quantum chemistry applications on quantum computers currently rely heavily on the variational quantum eigensolver (VQE) algorithm. This hybrid quantum-classical algorithm aims at finding ground state solutions of molecular systems based on the variat...

Hsin-Pin Lo, Takuya Ikuta, N. Matsuda +3 more·Mar 4, 2020

Time-bin qubits, where information is encoded in a single photon at different times, have been widely used in optical fiber and waveguide based quantum communications. With the recent developments in distributed quantum computation, it is logical to ...

Konstantin T. Matchev, P. Shyamsundar, Jordan Smolinsky·Mar 4, 2020

We propose a novel quantum technique to search for unmodelled anomalies in multi-dimensional binned collider data. We propose to associate an Ising lattice spin site with each bin, with the Ising Hamiltonian suitably constructed from the observed dat...

Xingze Qiu, Xiaopeng Li·Mar 3, 2020

We present an efficient approach to precisely simulate tight binding models with optical lattices, based on programmable digital-micromirror-device (DMD) techniques. Our approach consists of a subroutine of Wegner-flow enabled precise extraction of a...

Miriam Backens, Hector Miller-Bakewell, G. Felice +2 more·Mar 3, 2020

Translations between the quantum circuit model and the measurement-based one-way model are useful for verification and optimisation of quantum computations. They make crucial use of a property known as gflow. While gflow is defined for one-way comput...

Shiro Tamiya, Sho Koh, Yuya O. Nakagawa·Mar 3, 2020

Investigating systems in quantum chemistry and quantum many-body physics with the variational quantum eigensolver (VQE) is one of the most promising applications of forthcoming near-term quantum computers. The VQE is a variational algorithm for findi...

L. Kocia, M. Sarovar·Mar 2, 2020

We show that the cost of strong simulation of quantum circuits using $t$ $T$ gate magic states exhibits non-trivial reductions on its upper bound for $t=1$, $t=2$, $t=3$, and $t=6$ with odd-prime-qudits. This agrees with previous numerical bounds fou...

Andrea Skolik, J. McClean, M. Mohseni +2 more·Mar 2, 2020

With the increased focus on quantum circuit learning for near-term applications on quantum devices, in conjunction with unique challenges presented by cost function landscapes of parametrized quantum circuits, strategies for effective training are be...

Daniel Koch, Brett Martin, Saahil Patel +2 more·Mar 2, 2020

As superconducting qubits continue to advance technologically, so too does the interest level in their viability for tackling quantum algorithms, ultimately reaching for the popularized notion of ”Quantum Supremacy”. In this study we characterize and...

Kouhei Nakaji·Mar 1, 2020

In this paper, we introduce an efficient algorithm for the quantum amplitude estimation task which is tailored for near-term quantum computers. The quantum amplitude estimation is an important problem which has various applications in fields such as ...