Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Fault-tolerant connection of error-corrected qubits with noisy links
Joshua Ramette, Josiah Sinclair, N. P. Breuckmann +1 more·Feb 2, 2023
One of the most promising routes toward scalable quantum computing is a modular approach. We show that distinct surface code patches can be connected in a fault-tolerant manner even in the presence of substantial noise along their connecting interfac...
Designing a Hybrid Digital / Analog Quantum Physics Emulator as Open Hardware
Marcus Edwards·Feb 2, 2023
One of the most exciting quantum emulation [1] breakthroughs was the first analog signal-based emulation of a universal quantum computer [2]. This yielded a very interesting paper, but no practical use - even for theorists. The reason for this was th...
Generalized Uncertainty Principles for Quantum Cryptography
Randy Kuang·Feb 2, 2023
We know the classical public cryptographic algorithms are based on certain NP-hard problems such as the integer factoring in RSA and the discrete logarithm in Diffie-Hellman. They are going to be vulnerable with fault-tolerant quantum computers. We a...
Studying phonon coherence with a quantum sensor
A. Cleland, E. Alex Wollack, A. Safavi-Naeini·Feb 1, 2023
Nanomechanical oscillators offer numerous advantages for quantum technologies. Their integration with superconducting qubits shows promise for hardware-efficient quantum error-correction protocols involving superpositions of mechanical coherent state...
InQuIR: Intermediate Representation for Interconnected Quantum Computers
S. Nishio, Ryo Wakizaka·Feb 1, 2023
Various physical constraints limit the number of qubits that can be implemented in a single quantum processor, and thus it is necessary to connect multiple quantum processors via quantum interconnects. While several compiler implementations for inter...
The Role of Entanglement in Quantum-Relaxation Based Optimization Algorithms
Kosei Teramoto, Raymond H. Putra, H. Imai·Feb 1, 2023
Quantum Random Access Optimizer (QRAO) is a quantum-relaxation based optimization algorithm proposed by Fuller et al. that utilizes Quantum Random Access Code (QRAC) to encode multiple variables of binary optimization in a single qubit. Differing fro...
Hardness of Braided Quantum Circuit Optimization in the Surface Code
Kunihiro Wasa, S. Nishio, K. Suetsugu +4 more·Feb 1, 2023
Large-scale quantum information processing requires the use of quantum error-correcting codes to mitigate the effects of noise in quantum devices. Topological error-correcting codes, such as surface codes, are promising candidates, as they can be imp...
Scheme for parity-controlled multi-qubit gates with superconducting qubits
K. S. Christensen, N. Zinner, M. Kjaergaard·Feb 1, 2023
Multi-qubit parity measurements are at the core of many quantum error correction schemes. Extracting multi-qubit parity information typically involves using a sequence of multiple two-qubit gates. In this paper, we propose a superconducting circuit d...
Bounding first-order quantum phase transitions in adiabatic quantum computing
M. Werner, A. Garc'ia-S'aez, M. Estarellas·Jan 31, 2023
In the context of adiabatic quantum computation (AQC), it has been argued that first-order quantum phase transitions (QPTs) due to localisation phenomena cause AQC to fail by exponentially decreasing the minimal spectral gap of the Hamiltonian along ...
Detecting entanglement of unknown states by violating the Clauser–Horne–Shimony–Holt inequality
J. Cort'es-Vega, J. F. Barra, L. Pereira +1 more·Jan 31, 2023
Entangled states play a fundamental role in quantum mechanics and are at the core of many contemporary applications, such as quantum communication and quantum computing. Therefore, determining whether a state is entangled or not is an important task....
Variational Amplitude Amplification for Solving QUBO Problems
Daniel Koch, Massimiliano Cutugno, Saahil Patel +2 more·Jan 31, 2023
We investigate the use of amplitude amplification on the gate-based model of quantum computing as a means for solving combinatorial optimization problems. This study focuses primarily on quadratic unconstrained binary optimization (QUBO) problems, wh...
Towards interpretable quantum machine learning via single-photon quantum walks
Fulvio Flamini, Marius Krumm, Lukas J. Fiderer +2 more·Jan 31, 2023
Variational quantum algorithms represent a promising approach to quantum machine learning where classical neural networks are replaced by parametrized quantum circuits. However, both approaches suffer from a clear limitation, that is a lack of interp...
Simulating lossy Gaussian boson sampling with matrix-product operators
Minzhao Liu, Changhun Oh, Junyu Liu +2 more·Jan 30, 2023
Gaussian boson sampling, a computational model that is widely believed to admit quantum supremacy, has already been experimentally demonstrated and is claimed to surpass the classical simulation capabilities of even the most powerful supercomputers t...
SpinQ: Compilation Strategies for Scalable Spin-Qubit Architectures
Nikiforos Paraskevopoulos, F. Sebastiano, C. G. Almudéver +1 more·Jan 30, 2023
Despite Noisy Intermediate-Scale Quantum devices being severely constrained, hardware- and algorithm-aware quantum circuit mapping techniques have been developed to enable successful algorithm executions. Not so much attention has been paid to mappin...
Near-perfect Reachability of Variational Quantum Search with Depth-1 Ansatz
Junpeng Zhan·Jan 30, 2023
Grover’s search algorithm is renowned for its dramatic speedup in solving many important scientific problems. The recently proposed Variational Quantum Search (VQS) algorithm has shown an exponential advantage over Grover’s algorithm for up to 26 qub...
Improved machine learning algorithm for predicting ground state properties
L. Lewis, Hsin-Yuan Huang, Viet-Trung Tran +3 more·Jan 30, 2023
Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) algorithm for predicting ground state properties with an inductive bias encoding geometric loc...
Vulnerability of fault-tolerant topological quantum error correction to quantum deviations in code space
Yuan-Yuan Zhao, Dong Liu·Jan 30, 2023
Abstract Quantum computers face significant challenges from quantum deviations or coherent noise, particularly during gate operations, which pose a complex threat to the efficacy of quantum error correction (QEC) protocols. Here we scrutinize the per...
Logical qubit implementation for quantum annealing: augmented Lagrangian approach
H. Djidjev·Jan 29, 2023
Solving optimization problems on quantum annealers (QA) usually requires each variable of the problem to be represented by a connected set of qubits called a logical qubit or a chain. Chain weights, in the form of ferromagnetic coupling between the c...
Implementing a Hybrid Quantum-Classical Neural Network by Utilizing a Variational Quantum Circuit for Detection of Dementia
R. Kim·Jan 29, 2023
Magnetic resonance imaging (MRI) is a common technique to scan brains for strokes, tumors, and other abnormalities that cause forms of dementia. However, correctly diagnosing forms of dementia from MRIs is difficult, as nearly 1 in 3 patients with Al...
Quantum Topology Optimization via Quantum Annealing
Zisheng Ye, Xiaoping Qian, W. Pan·Jan 27, 2023
We present a quantum annealing-based solution method for topology optimization (TO). In particular, we consider TO in a more general setting, i.e., applied to structures of continuum domains where designs are represented as distributed functions, ref...