Quantum Brain

Papers

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

Total Papers

30,856

This Month

902

Today

0

Research Volume

15,142 papers in 12 months (-14% vs prior quarter)

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

30,856 papers found

Efficient and high-performance routing of lattice-surgery paths on three-dimensional lattice

Kou Hamada, Yasunari Suzuki, Yuuki Tokunaga·Jan 29, 2024

Encoding logical qubits with surface codes and performing multi-qubit logical operations with lattice surgery is one of the most promising approaches to demonstrate fault-tolerant quantum computing. Thus, a method to efficiently schedule a sequence o...

Quantum Physics

Enhancing the expressivity of quantum neural networks with residual connections

Jingwei Wen, Zhiguo Huang, Dunbo Cai +1 more·Jan 29, 2024

The authors introduce a quantum circuit-based algorithm to implement quantum residual neural networks by incorporating auxiliary qubits in the data-encoding and trainable blocks, which leads to an improved expressivity of parameterized quantum circui...

Physics

Student understanding of the Bloch sphere

Peter Hu, Yangqiuting Li, Roger S. K. Mong +1 more·Jan 29, 2024

Quantum information science is a rapidly growing interdisciplinary field that is attracting the attention of academics and industry experts alike. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry...

Physics

Highly efficient encoding for job-shop scheduling problems and its application on quantum computers

M. Schmid, Sarah Braun, Rudolf Sollacher +1 more·Jan 29, 2024

Combinatorial optimization problems are considered to be an application, where quantum computing can have transformative impact. In the industrial context, job shop scheduling problems that aim at finding the optimal schedule for a set of jobs to be ...

PhysicsMathematics

Nonstabilizerness via Matrix Product States in the Pauli Basis.

P. S. Tarabunga, E. Tirrito, M. Bañuls +1 more·Jan 29, 2024

Nonstabilizerness, also known as "magic," stands as a crucial resource for achieving a potential advantage in quantum computing. Its connection to many-body physical phenomena is poorly understood at present, mostly due to a lack of practical methods...

PhysicsMedicine

Identity Check Problem for Shallow Quantum Circuits

S. Bravyi, Natalie Parham, M. Tran·Jan 29, 2024

Checking whether two quantum circuits are approximately equivalent is a common task in quantum computing. We consider a closely related identity check problem: given a quantum circuit $U$, one has to estimate the diamond-norm distance between $U$ and...

Computer SciencePhysicsMathematics

Quantum-safe Encryption: A New Method to Reduce Complexity and/or Improve Security Level

A. Khandani·Jan 29, 2024

This work presents some novel techniques to enhance an encryption scheme motivated by classical McEliece cryptosystem. Contributions include: (1) using masking matrices to hide sensitive data, (2) allowing both legitimate parties to incorporate rando...

Computer ScienceMathematics

Assessing the Benefits and Risks of Quantum Computers

Travis L. Scholten, C. J. Williams, D. Moody +5 more·Jan 29, 2024

Quantum computing is an emerging technology with potentially far-reaching implications for national prosperity and security. Understanding the timeframes over which economic benefits and national security risks may manifest themselves is vital for en...

Physics

Quantum Algorithms for Calculating Determinant and Inverse of Matrix and Solving Linear Algebraic Systems

A. Zenchuk, Georgii A. Bochkin, Wentao Qi +2 more·Jan 29, 2024

Abstract We propose quantum algorithms, purely quantum in nature, for calculating the determinant and inverse of an (N – 1) × (N – 1) matrix (depth is O(N2 log N)) which is a simple modification of the algorithm for calculating the determinant of an ...

PhysicsComputer Science

Quantum Circuit Reconstruction from Power Side-Channel Attacks on Quantum Computer Controllers

Ferhat Erata, Chuan Xu, R. Piskac +1 more·Jan 29, 2024

The interest in quantum computing has grown rapidly in recent years, and with it grows the importance of securing quantum circuits. A novel type of threat to quantum circuits that dedicated attackers could launch are power trace attacks. To address t...

Computer Science

Decomposing dense matrices into dense Pauli tensors

T. Jones·Jan 29, 2024

Decomposing a matrix into a weighted sum of Pauli strings is a common chore of the quantum computer scientist, whom is not easily discouraged by exponential scaling. But beware, a naive decomposition can be cubically more expensive than necessary! In...

PhysicsMathematics

Iterative assembly of $^{171}$Yb atom arrays with cavity-enhanced optical lattices

M. Norcia, H. Kim, W. B. Cairncross +45 more·Jan 29, 2024

Assembling and maintaining large arrays of individually addressable atoms is a key requirement for continued scaling of neutral-atom-based quantum computers and simulators. In this work, we demonstrate a new paradigm for assembly of atomic arrays, ba...

Physics

A Thorough Study of State Leakage Mitigation in Quantum Computing with One-Time Pad

Chuan Xu, Jamie Sikora, Jakub Szefer·Jan 28, 2024

The ability for users to access quantum computers through the cloud has increased rapidly in recent years. Despite still being Noisy Intermediate-Scale Quantum (NISQ) machines, modern quantum computers are now being actively employed for research and...

Computer SciencePhysics

Feedback-based quantum algorithm inspired by counterdiabatic driving

Rajesh K. Malla, Hiroki Sukeno, Hongye Yu +3 more·Jan 27, 2024

In recent quantum algorithmic developments, a feedback-based approach has shown promise for preparing quantum many-body system ground states and solving combinatorial optimization problems. This method utilizes quantum Lyapunov control to iteratively...

Physics

Non-parametric Greedy Optimization of Parametric Quantum Circuits

Koustubh Phalak, Swaroop Ghosh·Jan 27, 2024

The use of Quantum Neural Networks (QNN) that are analogous to classical neural networks, has greatly increased in the past decade owing to the growing interest in the field of Quantum Machine Learning (QML). A QNN consists of three major components:...

PhysicsComputer Science

Quantum types: going beyond qubits and quantum gates

Tamás Varga, Yaiza Aragonés-Soria, Manuel Oriol·Jan 26, 2024

Quantum computing is a growing field with significant potential applications. Learning how to code quantum programs means understanding how qubits work and learning to use quantum gates. This is analogous to creating classical algorithms using logic ...

PhysicsComputer Science

Network mechanism for generating genuinely correlative Gaussian states

Zhaofang Bai, Shuan-ping Du·Jan 26, 2024

Generating a long-distance quantum state with genuine quantum correlation (GQC) is one of the most essential functions of quantum networks to support quantum communication. Here, we provide a deterministic scheme for generating multimode Gaussian sta...

Physics

5 Year Update to the Next Steps in Quantum Computing

K. Brown, Frederic T. Chong, Kaitlin N. Smith +5 more·Jan 26, 2024

It has been 5 years since the Computing Community Consortium (CCC) Workshop on Next Steps in Quantum Computing, and significant progress has been made in closing the gap between useful quantum algorithms and quantum hardware. Yet much remains to be d...

Computer SciencePhysics

Unbounded quantum-classical separation in sample complexity for sphere center finding

Guanzhong Li, Lvzhou Li·Jan 26, 2024

Fast quantum algorithms can solve important computational problems more efficiently than classical algorithms. However, little is known about whether quantum computing can speed up solving geometric problems. This article explores quantum advantages ...

PhysicsComputer Science

Carry Your Fault: A Fault Propagation Attack on Side-Channel Protected LWE-based KEM

Suparna Kundu, Siddhartha Chowdhury, Sayandeep Saha +3 more·Jan 25, 2024

Post-quantum cryptographic (PQC) algorithms, especially those based on the learning with errors (LWE) problem, have been subjected to several physical attacks in the recent past. Although the attacks broadly belong to two classes – passive side-chann...

Computer Science
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