Papers
Live trends in quantum computing research, updated daily from arXiv.
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Simulating Many-Body Systems with a Projective Quantum Eigensolver
Nicholas H Stair, Francesco A. Evangelista·Jan 31, 2021
We present a new hybrid quantum-classical algorithm for optimizing unitary coupled-cluster (UCC) wave functions deemed the projective quantum eigensolver (PQE), amenable to near-term noisy quantum hardware. Contrary to variational quantum algorithms,...
QFold: quantum walks and deep learning to solve protein folding
Pablo Antonio Moreno Casares, Roberto Campos, M. Martin-Delgado·Jan 25, 2021
We develop quantum computational tools to predict the 3D structure of proteins, one of the most important problems in current biochemical research. We explain how to combine recent deep learning advances with the well known technique of quantum walks...
Composable Programming of Hybrid Workflows for Quantum Simulation
Thien Nguyen, Lindsay Bassman, Dmitry I. Lyakh +6 more·Jan 20, 2021
We present a composable design scheme for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. Our object-oriented approach is based on constructing an expressive set of common data structures a...
Solving Quadratic Unconstrained Binary Optimization with divide-and-conquer and quantum algorithms
G. Guerreschi·Jan 19, 2021
Quadratic Unconstrained Binary Optimization (QUBO) is a broad class of optimization problems with many practical applications. To solve its hard instances in an exact way, known classical algorithms require exponential time and several approximate me...
Simulating Energy Transfer in Molecular Systems with Digital Quantum Computers.
Chee-Kong Lee, Jonathan Wei Zhong Lau, Liang Shi +1 more·Jan 18, 2021
Quantum computers have the potential to simulate chemical systems beyond the capability of classical computers. Recent developments in hybrid quantum-classical approaches enable the determinations of the ground or low energy states of molecular syste...
Assessing the Precision of Quantum Simulation of Many-Body Effects in Atomic Systems Using the Variational Quantum Eigensolver Algorithm
Sumeet, Srinivasa Prasannaa V, B. Das +1 more·Jan 14, 2021
The emerging field of quantum simulation of many-body systems is widely recognized as a very important application of quantum computing. A crucial step towards its realization in the context of many-electron systems requires a rigorous quantum mechan...
Toward Cosmological Simulations of Dark Matter on Quantum Computers
Philip Mocz, Aaron Szasz·Jan 14, 2021
State-of-the-art cosmological simulations on classical computers are limited by time, energy, and memory usage. Quantum computers can perform some calculations exponentially faster than classical computers, using exponentially less energy and memory,...
Quantum algorithmic measurement
D. Aharonov, Jordan S. Cotler, X. Qi·Jan 12, 2021
There has been recent promising experimental and theoretical evidence that quantum computational tools might enhance the precision and efficiency of physical experiments. However, a systematic treatment and comprehensive framework are missing. Here w...
Quantum option pricing using Wick rotated imaginary time evolution
Santosh Kumar Radha·Jan 12, 2021
In this paper we reformulate the problem of pricing options in a quantum setting. Our proposed algorithm involves preparing an initial state, representing the option price, and then evolving it using existing imaginary time simulation algorithms. Thi...
An efficient quantum algorithm for the time evolution of parameterized circuits
Stefano Barison, Filippo Vicentini, Giuseppe Carleo·Jan 12, 2021
We introduce a novel hybrid algorithm to simulate the real-time evolution of quantum systems using parameterized quantum circuits. The method, named "projected – Variational Quantum Dynamics" (p-VQD) realizes an iterative, global projection of the ex...
Quantum Generative Models for Small Molecule Drug Discovery
Junde Li, R. Topaloglu, Swaroop Ghosh·Jan 9, 2021
Existing drug discovery pipelines take 5–10 years and cost billions of dollars. Computational approaches aim to sample from regions of the whole molecular and solid-state compounds called chemical space, which could be on the order of $10^{60}$. Deep...
Detecting and quantifying entanglement on near-term quantum devices
Kun Wang, Zhixin Song, Xuanqiang Zhao +2 more·Dec 28, 2020
Quantum entanglement is a key resource in quantum technology, and its quantification is a vital task in the current noisy intermediate-scale quantum (NISQ) era. This paper combines hybrid quantum-classical computation and quasi-probability decomposit...
Entanglement devised barren plateau mitigation
T. Patti, K. Najafi, Xun Gao +1 more·Dec 23, 2020
Hybrid quantum-classical variational algorithms are one of the most propitious implementations of quantum computing on near-term devices, offering classical machine learning support to quantum scale solution spaces. However, numerous studies have dem...
Multipartite high-dimensional entangled state generation through soliton-induced dynamical Casimir effect on a chip
A. E. Dorche, A. Adibi·Dec 22, 2020
An integrated photonic approach for complex quantum state generation through dynamical Casimir effect (DCE) is demonstrated. This approach provides a scheme to realize multipartite high-dimensional entangled states in the microwave (MW) and terahertz...
Analyzing the performance of variational quantum factoring on a superconducting quantum processor
A. Karamlou, W. Simon, Amara Katabarwa +3 more·Dec 14, 2020
In the near-term, hybrid quantum-classical algorithms hold great potential for outperforming classical approaches. Understanding how these two computing paradigms work in tandem is critical for identifying areas where such hybrid algorithms could pro...
Variational Quantum Eigensolvers for Sparse Hamiltonians.
William M. Kirby, P. Love·Dec 13, 2020
Hybrid quantum-classical variational algorithms such as the variational quantum eigensolver (VQE) and the quantum approximate optimization algorithm (QAOA) are promising applications for noisy, intermediate-scale quantum computers. Both VQE and QAOA ...
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks
Jiahao Yao, Paul Köttering, Hans Gundlach +2 more·Dec 12, 2020
Variational quantum eigensolvers have recently received increased attention, as they enable the use of quantum computing devices to find solutions to complex problems, such as the ground energy and ground state of strongly-correlated quantum many-bod...
Variational quantum algorithms for trace distance and fidelity estimation
Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao +1 more·Dec 10, 2020
Estimating the difference between quantum data is crucial in quantum computing. However, as typical characterizations of quantum data similarity, the trace distance and quantum fidelity are believed to be exponentially-hard to evaluate in general. In...
How to enhance quantum generative adversarial learning of noisy information
Paolo Braccia, F. Caruso, L. Banchi·Dec 10, 2020
Quantum machine learning is where nowadays machine learning (ML) meets quantum information science. In order to implement this new paradigm for novel quantum technologies, we still need a much deeper understanding of its underlying mechanisms, before...
Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman Problem
E. Osaba, Esther Villar-Rodriguez, I. Oregi +1 more·Dec 9, 2020
Quantum Computing is considered as the next frontier in computing, and it is attracting a lot of attention from the current scientific community. This kind of computation provides to researchers with a revolutionary paradigm for addressing complex op...