Quantum Brain

Papers

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

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14,973 papers in 12 months (-20% vs prior quarter)

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Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

30,597 papers found

Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent

Pingzhi Li, Junyu Liu, Hanrui Wang +1 more·Apr 30, 2024

Optimization techniques in deep learning are predominantly led by first-order gradient methodologies, such as SGD. However, neural network training can greatly benefit from the rapid convergence characteristics of second-order optimization. Newton's ...

Computer SciencePhysics

A Simple Method for Compiling Quantum Stabilizer Circuits

B. Reid·Apr 30, 2024

Stabilizer circuits play an important role in quantum error correction protocols, and will be vital for ensuring fault tolerance in future quantum hardware. While stabilizer circuits are defined on the Clifford generating set, $\{H, S, CX\}$, not all...

Computer SciencePhysics

Weighted Feedback-Based Quantum Algorithm for Excited States Calculation

Salahuddin Abdul Rahman, Özkan Karabacak, Rafael Wisniewski·Apr 30, 2024

Drawing inspiration from the Lyapunov control technique for quantum systems, feedback-based quantum al-gorithms have been proposed for calculating the ground states of Hamiltonians. In this work, we consider extending these algorithms to tackle calcu...

PhysicsComputer Science

Entanglement-assisted phase-estimation algorithm for calculating dynamical response functions

Rei Sakuma, Shutaroh Kanno, Kenji Sugisaki +2 more·Apr 30, 2024

Dynamical response functions are fundamental quantities to describe the excited-state properties in quantum many-body systems. Quantum algorithms have been proposed to evaluate these quantities by means of quantum phase estimation (QPE), where the en...

Physics

Revealing the working mechanism of quantum neural networks by mutual information

Xin Zhang, Yuexian Hou·Apr 30, 2024

Quantum neural networks (QNNs) is a parameterized quantum circuit model, which can be trained by gradient-based optimizer, can be used for supervised learning, regression tasks, combinatorial optimization, etc. Although many works have demonstrated t...

Physics

Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification

Sk Chan, Pranav Kulkarni, P. Yi +1 more·Apr 30, 2024

Quantum machine learning (QML) has the potential for improving the multi-label classification of rare, albeit critical, diseases in large-scale chest x-ray (CXR) datasets due to theoretical quantum advantages over classical machine learning (CML) in ...

Computer SciencePhysics

Light cone cancellation for variational quantum eigensolver in solving noisy Max-Cut

Xinwei Lee, Xinjian Yan, Ningyi Xie +5 more·Apr 30, 2024

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. W...

PhysicsMedicine

Simple loss-tolerant protocol for Greenberger-Horne-Zeilinger-state distribution in a quantum network

Hikaru Shimizu, W. Roga, David Elkouss +1 more·Apr 30, 2024

Distributed quantum entanglement plays a crucial role in realizing networks that connect quantum devices. However, sharing entanglement between distant nodes by means of photons is a challenging process primary due to unavoidable losses in the linkin...

Physics

Controlled Spalling of 4H Silicon Carbide with Investigated Spin Coherence for Quantum Engineering Integration

Connor P. Horn, Christina Wicker, Antoni Wellisz +6 more·Apr 30, 2024

We detail scientific and engineering advances which enable the controlled spalling and layer transfer of single crystal 4H silicon carbide (4H-SiC) from bulk substrates. 4H-SiC’s properties, including high thermal conductivity and a wide bandgap, mak...

MedicinePhysics

Tuning the Coherent Interaction of an Electron Qubit and a Nuclear Magnon

Noah Shofer, Leon Zaporski, Martin Hayhurst Appel +9 more·Apr 30, 2024

A central spin qubit interacting coherently with an ensemble of proximal spins can be used to engineer entangled collective states or a multiqubit register. Making full use of this many-body platform requires tuning the interaction between the centra...

Physics

The Mathematical Foundation of Post-Quantum Cryptography

Chuanming Zong·Apr 30, 2024

In 1994, P. Shor discovered quantum algorithms that can break both the RSA cryptosystem and the ElGamal cryptosystem. In 2007, a Canadian company D-Wave demonstrated the first quantum computer. These events and quick further developments have brought...

Computer ScienceMedicineMathematics

QuTracer: Mitigating Quantum Gate and Measurement Errors by Tracing Subsets of Qubits

Peiyi Li, Ji Liu, A. Gonzales +3 more·Apr 30, 2024

Quantum error mitigation plays a crucial role in the current noisy-intermediate-scale-quantum (NISQ) era. As we advance towards achieving a practical quantum advantage in the near term, error mitigation emerges as an indispensable component. One nota...

PhysicsComputer Science

Purcell-enhanced optical refrigeration

Peng Ju, Kunhong Shen, Stefan Püschel +3 more·Apr 29, 2024

Optical refrigeration of solids with anti-Stokes fluorescence has been widely explored as a vibration-free cryogenic cooling technology. A minimum temperature of 87 K has been demonstrated with rare-earth ion doped crystals using optical refrigeratio...

physics.opticsQuantum Physics

The PRODSAT phase of random quantum satisfiability

Joon Lee, Nicolas Macris, Jean Bernoulli Ravelomanana +1 more·Apr 29, 2024

The $k$-QSAT problem is a quantum analog of the famous $k$-SAT constraint satisfaction problem. We must determine the zero energy ground states of a Hamiltonian of $N$ qubits consisting of a sum of $M$ random $k$-local rank-one projectors. It is know...

cs.ITData StructuresQuantum Physics

An Early Investigation of the HHL Quantum Linear Solver for Scientific Applications

Muqing Zheng, Chenxu Liu, S. Stein +4 more·Apr 29, 2024

In this paper, we explore using the Harrow–Hassidim–Lloyd (HHL) algorithm to address scientific and engineering problems through quantum computing, utilizing the NWQSim simulation package on a high-performance computing platform. Focusing on domains ...

PhysicsComputer Science

Low-overhead defect-adaptive surface code with bandage-like super-stabilizers

Zuolin Wei, Tan He, Y. Ye +7 more·Apr 29, 2024

To make practical quantum algorithms work, large-scale quantum processors protected by error-correcting codes are required to resist noise and ensure reliable computational outcomes. However, a major challenge arises from defects in processor fabrica...

Physics

A diverse set of two-qubit gates for spin qubits in semiconductor quantum dots

M. Ni, Rong-Long Ma, Zhen-Zhen Kong +11 more·Apr 29, 2024

To realize large-scale quantum information processes, an ideal scheme for two-qubit operations should enable diverse operations with given hardware and physical interaction. However, for spin qubits in semiconductor quantum dots, the common two-qubit...

Physics

The impact of noise on the simulation of NMR spectroscopy on NISQ devices

A. Khedri, Pascal Stadler, Kirsten Bark +5 more·Apr 29, 2024

With the surge of quantum computing platforms that continue to push the boundaries of capabilities of noisy intermediate-scale quantum computers, there is a growing interest in finding relevant applications and quantifying the corresponding error bud...

Physics

Architecture for fast implementation of quantum low-density parity-check codes with optimized Rydberg gates

C. Poole, T. M. Graham, M. Perlin +2 more·Apr 29, 2024

We propose an implementation of bivariate bicycle codes (Nature {\bf 627}, 778 (2024)) based on long-range Rydberg gates between stationary neutral atom qubits. An optimized layout of data and ancilla qubits reduces the maximum Euclidean communicatio...

Physics

Stability of Quantum Computers

Samudra Dasgupta·Apr 29, 2024

Quantum computing's potential is immense, promising super-polynomial reductions in execution time, energy use, and memory requirements compared to classical computers. This technology has the power to revolutionize scientific applications such as sim...

Physics
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