Papers

Mengyu Zhang, Lei Xie, Zhenxing Zhang +7 more·Aug 19, 2021

As current Noisy Intermediate Scale Quantum (NISQ) devices suffer from decoherence errors, any delay in the instruction execution of quantum control microarchitecture can lead to the loss of quantum information and incorrect computation results. Henc...

W. V. Dam, Karim M. El Defrawy, Nicholas Genise +1 more·Aug 19, 2021

This paper introduces two techniques that make the standard Quantum Approximate Optimization Algorithm (QAOA) more suitable for constrained optimization problems. The first technique describes how to use the outcome of a prior greedy classical algori...

R. Potempa, Sebastian Porębski·Aug 18, 2021

While quantum architectures are still under development, when available, they will only be able to process quantum data when machine learning algorithms can only process numerical data. Therefore, in the issues of classification or regression, it is ...

Joseph Bowles, A. Dauphin, Patrick Huembeli +2 more·Aug 18, 2021

We present a classical algorithm to find approximate solutions to instances of quadratic unconstrained binary optimisation. The algorithm can be seen as an analogue of quantum annealing under the restriction of a product state space, where the dynami...

J. Bosse, A. Montanaro·Aug 18, 2021

Finding and probing the ground states of spin lattices, such as the antiferromagnetic Heisenberg model on the kagome lattice (KAFH), is a very challenging problem on classical computers and only possible for relatively small systems. We propose using...

Jinglei Zhang, Ryan M. Ferguson, S. Kühn +4 more·Aug 18, 2021

Quantum-enhanced computing methods are promising candidates to solve currently intractable problems. We consider here a variational quantum eigensolver (VQE), that delegates costly state preparations and measurements to quantum hardware, while classi...

Rochisha Agarwal, Soorya Rethinasamy, Kunal Sharma +1 more·Aug 18, 2021

The performance of a quantum information processing protocol is ultimately judged by distinguishability measures that quantify how distinguishable the actual result of the protocol is from the ideal case. The most prominent distinguishability measure...

D. Hangleiter, I. Roth, J. Fuksa +2 more·Aug 18, 2021

Precise means of characterizing analog quantum simulators are key to developing quantum simulators capable of beyond-classical computations. Here, we precisely estimate the free Hamiltonian parameters of a superconducting-qubit analog quantum simulat...

Rohit Kundu, Hritam Basak, Akhil Koilada +3 more·Aug 17, 2021

Loss of every bit in traditional logic circuits involves dissipation of power in the form of heat that evolve to the environment. Reversible logic is one of the alternatives that have capabilities to mitigate this dissipation by preventing the loss o...

J. Monroe·Aug 17, 2021

Projective measurement is a commonly used assumption in quantum mechanics. However, advances in quantum measurement techniques allow for partial measurements, which accurately estimate state information while keeping the wavefunction intact. In this ...

Dong-Sheng Wang·Aug 17, 2021

Quantum computing has been a fascinating research field in quantum physics. Recent progresses motivate us to study in depth the universal quantum computing models (UQCM), which lie at the foundation of quantum computing and have tight connections wit...

G. Rosenthal, H. Yuen·Aug 16, 2021

Whereas quantum complexity theory has traditionally been concerned with problems arising from classical complexity theory (such as computing boolean functions), it also makes sense to study the complexity of inherently quantum operations such as cons...

M. Rančić·Aug 16, 2021

Majorana-zero-modes (MZMs) were predicted to exist as edge states of a physical system called the Kitaev chain. MZMs should host particles that are their own antiparticles and could be used as a basis for a qubit which is robust-to-noise. However, al...

A. Ram, G. Vahala, L. Vahala +1 more·Aug 16, 2021

There is considerable interest in the application of quantum information science to advance computations in plasma physics. Many of the topics in fusion plasma physics are classical in nature. In order to implement them on quantum computers it will r...

S. Reifenstein, S. Kako, F. Khoyratee +2 more·Aug 16, 2021

A coherent Ising machine (CIM) comprising a network of open‐dissipative quantum oscillators with optical error correction circuits is proposed. In the proposed network, the squeezed/anti‐squeezed vacuum states of the constituent optical parametric os...

Elija Perrier, Akram Youssry, C. Ferrie·Aug 15, 2021

The availability of large-scale datasets on which to train, benchmark and test algorithms has been central to the rapid development of machine learning as a discipline. Despite considerable advancements, the field of quantum machine learning has thus...

Maksim Levental·Aug 15, 2021

Most research in quantum computing today is performed against simulations of quantum computers rather than true quantum computers. Simulating a quantum computer entails implementing all of the unitary operators corresponding to the quantum gates as t...

Poulami Das, A. Locharla, Cody Jones·Aug 14, 2021

The error rates of quantum devices are orders of magnitude higher than what is needed to run most quantum applications. To close this gap, Quantum Error Correction (QEC) encodes logical qubits and distributes information using several physical qubits...

Rainer Muller, Franziska Greinert·Aug 13, 2021

The new quantum technologies are currently attracting a great deal of public attention. This application area of quantum physics is expected to provide significant technological and economic opportunities. Major projects such as the Quantum Flagship ...

Xiaoming Sun, Guojing Tian, Shuai Yang +2 more·Aug 13, 2021

The quantum state preparation problem aims to prepare an <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula>-qubit quantum state <inline-formula> <tex-math notation="LaTeX">$|\psi _{v}\rangle =\sum _{k=0}^{2^{n}-1}v_{k}|k\ran...