Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum speedup and limitations on matroid property problems
Xiao-Wei Huang, Jingquan Luo, Lvzhou Li·Nov 25, 2021
Matroid theory has been developed to be a mature branch of mathematics and has extensive applications in combinatorial optimization, algorithm design and so on. On the other hand, quantum computing has attracted much attention and has been shown to s...
Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training
Anbang Wu, Gushu Li, Yufei Ding +1 more·Nov 25, 2021
Variational quantum algorithms are expected to demonstrate the advantage of quantum computing on near-term noisy quantum computers. However, training such variational quantum algorithms suffers from gradient vanishing as the size of the algorithm inc...
QAOA of the Highest Order
Colin Campbell, E. Dahl·Nov 24, 2021
The Quantum Approximate Optimization Algorithm (QAOA) has been one of the leading candidates for near-term quantum advantage in gate-model quantum computers. From its inception, this algorithm has sparked the desire for comparison between gate-model ...
Imaginary-time evolution using forward and backward real-time evolution with a single ancilla: First-quantized eigensolver algorithm for quantum chemistry
Taichi Kosugi, Yusuke Nishiya, Hirofumi Nishi +1 more·Nov 24, 2021
Imaginary-time evolution (ITE) on a quantum computer is a promising formalism for obtaining the ground state of a quantum system. As a kind of it, the probabilistic ITE (PITE) takes advantage of measurements to implement the nonunitary operations. We...
Performance of Grover’s search algorithm with diagonalizable collective noises
Minghua Pan, Taiping Xiong, Shenggen Zheng·Nov 24, 2021
Grover’s search algorithm (GSA) is known to experience a loss of its quadratic speedup when exposed to quantum noise. In this study, we partially agree with this result and present our findings. First, we examine different typical diagonalizable nois...
Efficient quantum computation of molecular forces and other energy gradients
T. O’Brien, Michael Streif, N. Rubin +12 more·Nov 24, 2021
While most work on the quantum simulation of chemistry has focused on computing energy surfaces, a similarly important application requiring subtly different algorithms is the computation of energy derivatives. Almost all molecular properties can be ...
Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms
N. Stamatopoulos, G. Mazzola, Stefan Woerner +1 more·Nov 24, 2021
We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work has shown that quantum amplitude estimation can accelerate derivative pricing quadratically in the target error and we extend this to a quadratic erro...
Understanding Quantum Technologies 2025
Olivier Ezratty·Nov 24, 2021
Understanding Quantum Technologies 2025 is the 8th update of a free open science ebook that provides a 360 degrees overview of quantum technologies from science and technology to geopolitical and societal issues. It covers quantum physics history, qu...
Quantum state preparation by adiabatic evolution with custom gates
E. A. Coello Pérez, J. Bonitati, Dean Lee +2 more·Nov 24, 2021
Quantum state preparation by adiabatic evolution is currently rendered ineffective by the long implementation times of the underlying quantum circuits, comparable to the decoherence time of present and near-term quantum devices. These implementation ...
Generative Quantum Machine Learning
Christa Zoufal·Nov 24, 2021
The goal of generative machine learning is to model the probability distribution underlying a given data set. This probability distribution helps to characterize the generation process of the data samples. While classical generative machine learning ...
Demonstration of fault-tolerant universal quantum gate operations
L. Postler, Sascha Heußen, Ivan Pogorelov +10 more·Nov 24, 2021
Quantum computers can be protected from noise by encoding the logical quantum information redundantly into multiple qubits using error-correcting codes1,2. When manipulating the logical quantum states, it is imperative that errors caused by imperfect...
Entanglement-Optimal Trajectories of Many-Body Quantum Markov Processes.
T. Vovk, H. Pichler·Nov 23, 2021
We develop a novel approach aimed at solving the equations of motion of open quantum many-body systems. It is based on a combination of generalized wave function trajectories and matrix product states. We introduce an adaptive quantum stochastic prop...
Noise-reducing encoding strategies for spin chains
C. Keele, A. Kay·Nov 23, 2021
We present an encoding technique that reduces the effects of noise on quantum spin systems whose operation is driven by Hamiltonian evolution. This technique is widely applicable, being most relevant to the scenarios where there are insufficient qubi...
Quantum Advantage for All
C. Kirsch, Stefanie Muroya Lei·Nov 23, 2021
We show that the algorithmic complexity of any classical algorithm written in a Turing-complete programming language polynomially bounds the number of quantum bits that are required to run and even symbolically execute the algorithm on a quantum comp...
Simulating strongly interacting Hubbard chains with the variational Hamiltonian ansatz on a quantum computer
Baptiste Anselme Martin, P. Simon, M. Rančić·Nov 23, 2021
Hybrid quantum-classical algorithms have been proposed to circumvent noise limitations in quantum computers. Such algorithms delegate only a calculation of the expectation value to the quantum computer. Among them, the Variational Quantum Eigensolver...
Two-qubit silicon quantum processor with operation fidelity exceeding 99%
A. Mills, C. Guinn, M. Gullans +4 more·Nov 23, 2021
Silicon spin qubits satisfy the necessary criteria for quantum information processing. However, a demonstration of high-fidelity state preparation and readout combined with high-fidelity single- and two-qubit gates, all of which must be present for q...
Quanto: optimizing quantum circuits with automatic generation of circuit identities
Jessica Pointing, Oded Padon, Zhihao Jia +4 more·Nov 22, 2021
Existing quantum compilers focus on mapping a logical quantum circuit to a quantum device and its native quantum gates. Only simple circuit identities are used to optimize the quantum circuit during the compilation process. This approach misses more ...
Sublinear quantum algorithms for estimating von Neumann entropy
Tom Gur, Min-Hsiu Hsieh, Sathyawageeswar Subramanian·Nov 22, 2021
Entropy is a fundamental property of both classical and quantum systems, spanning myriad theoretical and practical applications in physics and computer science. We study the problem of obtaining estimates to within a multiplicative factor $\gamma>1$ ...
A Quantum Annealing Approach to Reduce Covid-19 Spread on College Campuses
James Sud, V. Li·Nov 22, 2021
Disruptions of university campuses caused by COVID-19 have motivated strategies to prevent the spread of infectious diseases while maintaining some level of in person learning. In response, the proposed approach recursively applied a quantum annealin...
Bridging the reality gap in quantum devices with physics-aware machine learning
D. L. Craig, H. Moon, F. Fedele +9 more·Nov 22, 2021
The discrepancies between reality and simulation impede the optimisation and scalability of solid-state quantum devices. Disorder induced by the unpredictable distribution of material defects is one of the major contributions to the reality gap. We b...