Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

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31,274

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15,410 papers in 12 months (-6% vs prior quarter)

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Papers by research theme (12 months). Hover for details.

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

31,274 papers found

High-fidelity and large-scale reconfigurable photonic processor for NISQ applications.

A. Cavaillès, P. Boucher, L. Daudet +3 more·May 3, 2022

Reconfigurable linear optical networks are a key component for the development of optical quantum information processing platforms in the NISQ era and beyond. We report the implementation of such a device based on an innovative design that uses the m...

MedicinePhysics

On Circuit Depth Scaling For Quantum Approximate Optimization

V. Akshay, H. Philathong, E. Campos +4 more·May 3, 2022

Variational quantum algorithms are the centerpiece of modern quantum programming. These algorithms involve training parameterized quantum circuits using a classical co-processor, an ap-proach adapted partly from classical machine learning. An importa...

PhysicsComputer Science

Many-fermion simulation from the contracted quantum eigensolver without fermionic encoding of the wave function

Scott E. Smart, D. Mazziotti·May 3, 2022

Quantum computers potentially have an exponential advantage over classical computers for the quantum simulation of many-fermion quantum systems. Nonetheless, fermions are more expensive to simulate than bosons due to the fermionic encoding -- a mappi...

Physics

Learning Coulomb Diamonds in Large Quantum Dot Arrays

Oswin Krause, A. Chatterjee, F. Kuemmeth +1 more·May 3, 2022

We introduce an algorithm that is able to find the facets of Coulomb diamonds in quantum dot arrays. We simulate these arrays using the constant-interaction model, and rely only on one-dimensional raster scans (rays) to learn a model of the device us...

PhysicsComputer Science

Quantum estimation bound of the Gaussian matrix permanent

J. Huh·May 3, 2022

Exact calculation and even multiplicative error estimation of matrix permanent are challenging for both classical and quantum computers. Regarding the permanents of random Gaussian matrices, the additive error estimation is closely linked to boson sa...

PhysicsMathematics

Accelerated Convergence of Contracted Quantum Eigensolvers through a Quasi-Second-Order, Locally Parameterized Optimization

Scott E. Smart, D. Mazziotti·May 3, 2022

A contracted quantum eigensolver (CQE) finds a solution to the many-electron Schrödinger equation by solving its integration (or contraction) to the two-electron space—a contracted Schrödinger equation (CSE)—on a quantum computer. When applied to the...

PhysicsMedicine

Tunable Quantum Neural Networks in the QPAC-Learning Framework

Viet Pham Ngoc, David Tuckey, H. Wiklicky·May 3, 2022

In this paper, we investigate the performances of tunable quantum neural networks in the Quantum Probably Approximately Correct (QPAC) learning framework. Tunable neural networks are quantum circuits made of multi-controlled X gates. By tuning the se...

PhysicsComputer Science

On the importance of scalability and resource estimation of quantum algorithms for domain sciences

V. Pascuzzi, N. Bao, A. Li·May 2, 2022

—The quantum information science community has seen a surge in new algorithmic developments across scientific domains. These developments have demonstrated polynomial or better improvements in computational and space complexity, incentivizing further ...

Physics

Dynamic Qubit Routing with CNOT Circuit Synthesis for Quantum Compilation

A. M. D. Griend, Sarah Meng Li·May 2, 2022

Many quantum computers have constraints regarding which two-qubit operations are locally allowed. To run a quantum circuit under those constraints, qubits need to be mapped to different quantum registers, and multi-qubit gates need to be routed accor...

Computer SciencePhysics

Entanglement Forging with generative neural network models

Patrick Huembeli, Giuseppe Carleo, Antonio Mezzacapo·May 2, 2022

The optimal use of quantum and classical computational techniques together is important to address problems that cannot be easily solved by quantum computations alone. This is the case of the ground state problem for quantum many-body systems. We sho...

Physics

Opportunistic Routing in Quantum Networks

A. Farahbakhsh, Chen Feng·May 2, 2022

Unlike classical routing algorithms, quantum routing algorithms make use of entangled states—a type of resources that have a limited lifetime and need to be regenerated after consumption. In a nutshell, quantum routing algorithms have to use these re...

Computer Science

A walk through of time series analysis on quantum computers

A. Daskin·May 2, 2022

—Because of the rotational components on quantum circuits, some quantum neural networks based on variational circuits can be considered equivalent to the classical Fourier networks. In addition, they can be used to predict the Fourier coefficients of ...

Computer SciencePhysics

Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm

Nicola Franco, Tom Wollschlager, Nicholas Gao +2 more·May 2, 2022

In recent years, quantum computers and algorithms have made significant progress indicating the prospective importance of quantum computing (QC). Especially combinatorial optimization has gained a lot of attention as an application field for near-ter...

Computer SciencePhysics

Efficient Use of Quantum Linear System Algorithms in Interior Point Methods for Linear Optimization

Mohammadhossein Mohammadisiahroudi, Ohammadisiahroudi, Amin +3 more·May 2, 2022

Quantum computing has attracted significant interest in the optimization community because it potentially can solve classes of optimization problems faster than conventional supercomputers. Several researchers proposed quantum computing methods, espe...

PhysicsMathematics

A near-term quantum algorithm for solving linear systems of equations based on the Woodbury identity

Daniel O’Malley, Jessie M. Henderson, Elijah Pelofske +5 more·May 2, 2022

Quantum algorithms for solving linear systems of equations have generated excitement because of the potential speed-ups involved and the importance of solving linear equations in many applications. However, applying these algorithms can be challengin...

Physics

Efficient variational synthesis of quantum circuits with coherent multi-start optimization

N. Nemkov, E. Kiktenko, I. Luchnikov +1 more·May 2, 2022

We consider the problem of the variational quantum circuit synthesis into a gate set consisting of the CNOT gate and arbitrary single-qubit (1q) gates with the primary target being the minimization of the CNOT count. First we note that along with the...

Computer SciencePhysics

Fermionic Correlation Functions from Randomized Measurements in Programmable Atomic Quantum Devices.

P. Naldesi, A. Elben, A. Minguzzi +3 more·May 2, 2022

We provide an efficient randomized measurement protocol to estimate two- and four-point fermionic correlations in ultracold atom experiments. Our approach is based on combining random atomic beam splitter operations, which can be realized with progra...

PhysicsMedicine

Multi-Entanglement Routing Design over Quantum Networks

Yiming Zeng, Jiarui Zhang, Ji Liu +2 more·May 2, 2022

Quantum networks are considered as a promising future platform for quantum information exchange and quantum applications, which have capabilities far beyond the traditional communication networks. Remote quantum entanglement is an essential component...

Computer Science

Quantum computing of the $^6$Li nucleus via ordered unitary coupled clusters

Oriel Kiss, M. Grossi, P. Lougovski +3 more·May 2, 2022

The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited state energy of quantum many-body systems. A key component of the algorithm and an active research area is the construction of a parametrized trial wavefunction -...

Physics

Efficient Quantum Algorithm for Nonlinear Reaction–Diffusion Equations and Energy Estimation

Jin-Peng Liu, Dong An, Di Fang +3 more·May 2, 2022

Nonlinear differential equations exhibit rich phenomena in many fields but are notoriously challenging to solve. Recently, Liu et al. (in: Proceedings of the National Academy of Sciences 118(35), 2021) demonstrated the first efficient quantum algorit...

PhysicsComputer ScienceMathematics
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