Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,647 papers in 12 months (-16% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Variational Quantum Simulations of Finite-Temperature Dynamical Properties via Thermofield Dynamics
Chee-Kong Lee, Shi-Xin Zhang, Chang-Yu Hsieh +2 more·Jun 11, 2022
The recent advancement of quantum computer hardware offers the potential to simulate quantum many-body systems beyond the capability of its classical counterparts. However, most current works focus on simulating the ground-state properties or pure-sta...
Simulations of frustrated Ising Hamiltonians using quantum approximate optimization
Phillip C. Lotshaw, Hanjing Xu, B. Khalid +3 more·Jun 10, 2022
Novel magnetic materials are important for future technological advances. Theoretical and numerical calculations of ground-state properties are essential in understanding these materials, however, computational complexity limits conventional methods ...
Impact of dynamics, entanglement and Markovian noise on the fidelity of few-qubit digital quantum simulation
M. D. Porter, I. Joseph·Jun 10, 2022
Quantum algorithms have been proposed to accelerate the simulation of the chaotic dynamical systems that are ubiquitous in the physics of plasmas. Quantum computers without error correction might even use noise to their advantage to calculate the Lya...
Quantum Policy Iteration via Amplitude Estimation and Grover Search - Towards Quantum Advantage for Reinforcement Learning
Simon Wiedemann, D. Hein, S. Udluft +1 more·Jun 9, 2022
We present a full implementation and simulation of a novel quantum reinforcement learning method. Our work is a detailed and formal proof of concept for how quantum algorithms can be used to solve reinforcement learning problems and shows that, given...
Multi-state quantum simulations via model-space quantum imaginary time evolution
T. Tsuchimochi, Yoohee Ryo, Siu Chung Tsang +1 more·Jun 9, 2022
We introduce the framework of model space into quantum imaginary time evolution (QITE) to enable stable estimation of ground and excited states using a quantum computer. Model-space QITE (MSQITE) propagates a model space to the exact one by retaining...
Computational advantage of quantum random sampling
D. Hangleiter, J. Eisert·Jun 8, 2022
Quantum random sampling is the leading proposal for demonstrating a computational advantage of quantum computers over classical computers. Recently, first large-scale implementations of quantum random sampling have arguably surpassed the boundary of ...
Amplitude-based implementation of the unit step function on a quantum computer
Jonas Koppe, Mark-Oliver Wolf·Jun 7, 2022
Modelling non-linear activation functions on quantum computers is vital for quantum neurons employed in fully quantum neural networks, however, remains a challenging task. We introduce an amplitude-based implementation for approximating non-linearity...
Hybrid simplification rules for boundaries of quantum circuits
M. Epping·Jun 7, 2022
We describe rules to simplify quantum circuits at their boundaries, i.e. at state preparation and measurement. There, any strictly incoherent operation may be pushed into a preor post-processing of classical data. The rules can greatly simplify the i...
Fourier-based quantum signal processing
T. L. Silva, Lucas Borges, L. Aolita·Jun 6, 2022
Implementing general functions of operators is a powerful tool in quantum computation. It can be used as the basis for a variety of quantum algorithms including matrix inversion, real and imaginary-time evolution, and matrix powers. Quantum signal pr...
Quantum Neural Network Classifiers: A Tutorial
Weikang Li, Zhide Lu, D. Deng·Jun 6, 2022
Machine learning has achieved dramatic success over the past decade, with applications ranging from face recognition to natural language processing. Meanwhile, rapid progress has been made in the field of quantum computation including developing both...
Avoiding barren plateaus via transferability of smooth solutions in a Hamiltonian variational ansatz
A. A. Mele, G. Mbeng, G. Santoro +2 more·Jun 4, 2022
A large ongoing research effort focuses on Variational Quantum Algorithms (VQAs), representing leading candidates to achieve computational speed-ups on current quantum devices. The scalability of VQAs to a large number of qubits, beyond the simulatio...
GPU-accelerated approximate kernel method for quantum machine learning.
N. Browning, Felix A. Faber, O. Anatole von Lilienfeld·Jun 3, 2022
We introduce Quantum Machine Learning (QML)-Lightning, a PyTorch package containing graphics processing unit (GPU)-accelerated approximate kernel models, which can yield trained models within seconds. QML-Lightning includes a cost-efficient GPU imple...
Optimized Quantum Phase Estimation for Simulating Electronic States in Various Energy Regimes.
Christopher Kang, Nicholas P. Bauman, S. Krishnamoorthy +1 more·Jun 2, 2022
While quantum algorithms for simulations exhibit better asymptotic scaling than their classical counterparts, they currently cannot be accurately implemented on real-world devices. Instead, chemists and computer scientists rely on costly classical si...
Commutation simulator for open quantum dynamics
J. Joo, T. Spiller·Jun 1, 2022
Recent progress in quantum simulation and algorithms has demonstrated a rapid expansion in capabilities. The search continues for new techniques and applications to exploit quantum advantage. Here we propose an innovative method to investigate direct...
Quantum circuits for discrete graphical models
N. Piatkowski, Christa Zoufal·Jun 1, 2022
Graphical models are useful tools for describing structured high-dimensional probability distributions. The development of efficient algorithms for generating samples thereof remains an active research topic. In this work, we provide a quantum algori...
Quantum relaxed row and column iteration methods based on block-encoding
Xiao-qi Liu, Jing Wang, Ming Li +3 more·Jun 1, 2022
Iteration method is commonly used in solving linear systems of equations. We present quantum algorithms for the relaxed row and column iteration methods by constructing unitary matrices in the iterative processes, which generalize row and column iter...
Design and Simulation of an Autonomous Quantum Flying Robot Vehicle: An IBM Quantum Experience
Sudev Pradhan, Anshuman Padhi, B. Behera·Jun 1, 2022
The application of quantum computation and information in robotics has caught the attention of researchers off late. The field of robotics has always put its effort on the minimization of the space occupied by the robot, and on making the robot `smar...
Quantum error mitigation by Pauli check sandwiching
Alvin Gonzales, Ruslan Shaydulin, Zain Saleem +1 more·Jun 1, 2022
We describe and analyze an error mitigation technique that uses multiple pairs of parity checks to detect the presence of errors. Each pair of checks uses one ancilla qubit to detect a component of the error operator and represents one layer of the t...
Digital quantum simulation of an extended Agassi model: Using machine learning to disentangle its phase-diagram
Álvaro Sáiz, J. García-Ramos, J. M. Arias +2 more·May 30, 2022
A digital quantum simulation for the extended Agassi model is proposed using a quantum platform with eight trapped ions. The extended Agassi model is an analytically solvable model including both short range pairing and long range monopole-monopole i...
Towards near-term quantum simulation of materials
Laura Clinton, T. Cubitt, Brian Flynn +6 more·May 30, 2022
Determining the ground and excited state properties of materials is considered one of the most promising applications of quantum computers. On near-term hardware, the limiting constraint on such simulations is the requisite circuit depths and qubit n...