Papers

Mahdi Chehimi, W. Saad·May 30, 2021

Quantum communication networks are emerging as a promising technology that could constitute a key building block in future communication networks in the 6G era and beyond. These networks have an inherent feature of parallelism that allows them to boo...

Amy Joseph, J. Varela, Molly Watts +4 more·May 28, 2021

Cosmology is in an era of rapid discovery especially in areas related to dark energy, dark matter and inflation. Quantum cosmology treats the cosmology quantum mechanically and is important when quantum effects need to be accounted for, especially in...

Keren Li·May 28, 2021

A practical fault-tolerant quantum computer is worth looking forward to as it provides applications that outperform their known classical counterparts. However, millions of interacting qubits with stringent criteria are required, which is intractable...

O. Higgott·May 27, 2021

This article introduces PyMatching, a fast open-source Python package for decoding quantum error-correcting codes with the minimum-weight perfect matching (MWPM) algorithm. PyMatching includes the standard MWPM decoder as well as a variant, which we ...

François Jamet, Abhishek Agarwal, C. Lupo +3 more·May 27, 2021

We propose an algorithm to obtain Green's functions as a continued fraction on quantum computers, which is based on the construction of the Krylov basis using variational quantum algorithms, and included in a Lanczos iterative scheme. This allows the...

Jakob Günther, F. Tacchino, James R. Wootton +2 more·May 27, 2021

Near term quantum computers suffer from the presence of different noise sources. In order to mitigate for this effect and acquire results with significantly better accuracy, there is the urge of designing efficient error correction or error mitigatio...

Alireza Seif, M. Hafezi, Yi-Kai Liu·May 26, 2021

Long-range correlated errors can severely impact the performance of NISQ (noisy intermediate-scale quantum) devices, and fault-tolerant quantum computation. Characterizing these errors is important for improving the performance of these devices, via ...

Yuan Su, D. Berry, N. Wiebe +2 more·May 26, 2021

Quantum simulations of chemistry in first quantization offer important advantages over approaches in second quantization including faster convergence to the continuum limit and the opportunity for practical simulations outside the Born-Oppenheimer ap...

Javier Alcazar, A. Cadarso, Amara Katabarwa +4 more·May 25, 2021

Quantum mechanics is well known to accelerate statistical sampling processes over classical techniques. In quantitative finance, statistical samplings arise broadly in many use cases. Here we focus on a particular one of such use cases, credit valuat...

Yunlong Yu, Chenfeng Cao, C. Dewey +3 more·May 25, 2021

The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wavefunction into one which encodes a solution to a difficult classical optimization problem. It does this by optimizing the schedule according to which two unitary ...

N. Miller, S. Mukhopadhyay·May 25, 2021

In this work, we present a Quantum Hopfield Associative Memory (QHAM) and demonstrate its capabilities in simulation and hardware using IBM Quantum Experience.. The QHAM is based on a quantum neuron design which can be utilized for many different mac...

Zhicheng Zhang, Qisheng Wang, M. Ying·May 25, 2021

We study how parallelism can speed up quantum simulation. A parallel quantum algorithm is proposed for simulating the dynamics of a large class of Hamiltonians with good sparse structures, called uniform-structured Hamiltonians, including various Ham...

Sebastian Brandhofer, S. Devitt, I. Polian·May 24, 2021

While scalable, fully error corrected quantum computing is years or even decades away, there is considerable interest in noisy intermediate-scale quantum computing (NISQ). In this paper, we introduce the ArsoNISQ framework that determines the tolerab...

T. Kvorning, L. Herviou, J. Bardarson·May 24, 2021

Quantum many-body dynamics generically result in increasing entanglement that eventually leads to thermalization of local observables. This makes the exact description of the dynamics complex despite the apparent simplicity of (high-temperature) ther...

Pinaki Sen, A. Bhatia·May 21, 2021

In quantum computing, the variational quantum algorithms (VQAs) are well suited for finding optimal combinations of things in specific applications ranging from chemistry all the way to finance. The training of VQAs with gradient descent optimization...

Wan-Ting He, Huan-yu Guang, Ziang Li +5 more·May 21, 2021

In realistic metrology, entangled probes are more sensitive to noise, especially for a correlated environment. The precision of parameter estimation with entangled probes is even lower than that of the unentangled ones in a correlated environment. In...

M. Sajjan, S. Sureshbabu, S. Kais·May 20, 2021

Quantum machine-learning algorithms have emerged to be a promising alternative to their classical counterparts as they leverage the power of quantum computers. Such algorithms have been developed to solve problems like electronic structure calculatio...

Boxi Li, Shahnawaz Ahmed, Sidhant Saraogi +4 more·May 20, 2021

The study of the impact of noise on quantum circuits is especially relevant to guide the progress of Noisy Intermediate-Scale Quantum (NISQ) computing. In this paper, we address the pulse-level simulation of noisy quantum circuits with the Quantum To...

E. Chertkov, J. Bohnet, David Francois +9 more·May 19, 2021

Quantum computers promise to efficiently simulate quantum dynamics, a classically intractable task central to fields ranging from chemistry to high-energy physics. Yet, quantum computational advantage has only been demonstrated for artificial tasks s...

Yangming Zhao, C. Qiao·May 17, 2021

Quantum computing holds a great promise and this work proposes to use new quantum data networks (QDNs) to connect multiple small quantum computers to form a cluster. Such a QDN differs from existing QKD networks in that the former must deliver data q...