Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Geometric quantum machine learning of BQPA protocols and latent graph classifiers
Chukwudubem Umeano, V. Elfving, O. Kyriienko·Feb 6, 2024
Geometric quantum machine learning (GQML) aims to embed problem symmetries for learning efficient solving protocols. However, the question remains if (G)QML can be routinely used for constructing protocols with an exponential separation from classica...
Superconducting Qubits above 20 GHz Operating over 200 mK
Alexander Anferov, Shannon P. Harvey, Fanghui Wan +2 more·Feb 5, 2024
Current state-of-the-art superconducting microwave qubits are cooled to extremely low temperatures to avoid sources of decoherence. Higher qubit operating temperatures would significantly increase the cooling power available, which is desirable for s...
Fast classical simulation of Harvard/QuEra IQP circuits
Dmitri Maslov, S. Bravyi, Felix Tripier +2 more·Feb 5, 2024
Establishing an advantage for (white-box) computations by a quantum computer against its classical counterpart is currently a key goal for the quantum computation community. A quantum advantage is achieved once a certain computational capability of a...
Crosstalk Attacks and Defence in a Shared Quantum Computing Environment
B. Harper, Behnam Tonekaboni, Bahar Goldozian +2 more·Feb 5, 2024
Quantum computing has the potential to provide solutions to problems that are intractable on classical computers, but the accuracy of the current generation of quantum computers suffer from the impact of noise or errors such as leakage, crosstalk, de...
Synchronous detection of cosmic rays and correlated errors in superconducting qubit arrays
P. M. Harrington, Mingyu Li, Max Hays +13 more·Feb 5, 2024
Quantum information processing at scale will require sufficiently stable and long-lived qubits, likely enabled by error-correction codes. Several recent superconducting-qubit experiments, however, reported observing intermittent spatiotemporally corr...
Robust Angle Finding for Generalized Quantum Signal Processing
S. Yamamoto, Nobuyuki Yoshioka·Feb 5, 2024
Quantum Signal Processing (QSP), together with the quantum singular value transformation, is one of the central quantum algorithms due to its efficiency and generality in many fields including quantum simulation, quantum machine learning, and quantum...
Curriculum reinforcement learning for quantum architecture search under hardware errors
Yash J. Patel, Akash Kundu, M. Ostaszewski +3 more·Feb 5, 2024
The key challenge in the noisy intermediate-scale quantum era is finding useful circuits compatible with current device limitations. Variational quantum algorithms (VQAs) offer a potential solution by fixing the circuit architecture and optimizing in...
Towards a Multiqudit Quantum Processor Based on a 171Yb+ Ion String: Realizing Basic Quantum Algorithms
I. Zalivako, Anastasiia S. Nikolaeva, A. Borisenko +12 more·Feb 5, 2024
We demonstrate a quantum processor based on a 3D linear Paul trap that uses Yb+171 ions with eight individually controllable four-level qudits (ququarts), which is computationally equivalent to a sixteen-qubit quantum processor. The design of the dev...
Sequential adiabatic generation of chiral topological states
Xie Chen, M. Hermele, David T. Stephen·Feb 5, 2024
In previous work, it was shown that non-trivial gapped states can be generated from a product state using a sequential quantum circuit. Explicit circuit constructions were given for a variety of gapped states at exactly solvable fixed points. In th...
Unleashing the expressive power of pulse-based quantum neural networks
Han-Xiao Tao, Jiaqi Hu, Re-Bing Wu·Feb 5, 2024
Quantum machine learning (QML) based on Noisy Intermediate-Scale Quantum (NISQ) devices hinges on the optimal utilization of limited quantum resources. The broadly used gate-based QML models are user-friendly for software engineers, but their express...
Full Characterization of the Depth Overhead for Quantum Circuit Compilation with Arbitrary Qubit Connectivity Constraint
Pei Yuan, Shengyu Zhang·Feb 4, 2024
In some physical implementations of quantum computers, 2-qubit operations can be applied only on certain pairs of qubits. Compilation of a quantum circuit into one compliant to such qubit connectivity constraint results in an increase of circuit dept...
Supervised-learning guarantee for quantum AdaBoost
Yabo Wang, Xin Wang, Bo Qi +1 more·Feb 4, 2024
In the noisy intermediate-scale quantum (NISQ) era, the capabilities of variational quantum algorithms are greatly constrained due to a limited number of qubits and the shallow depth of quantum circuits. We may view these variational quantum algorith...
Grover-QAOA for 3-SAT: quadratic speedup, fair-sampling, and parameter clustering
Zewen Zhang, Roger Paredes, Bhuvanesh Sundar +5 more·Feb 4, 2024
The SAT problem is a prototypical NP-complete problem of fundamental importance in computational complexity theory with many applications in science and engineering; as such, it has long served as an essential benchmark for classical and quantum algo...
High temperature spin selectivity in a quantum dot qubit using reservoir spin accumulation
R. Jansen, S. Yuasa·Feb 3, 2024
Employing spins in quantum dots for fault-tolerant quantum computing in large-scale qubit arrays with on-chip control electronics requires high-fidelity qubit operation at elevated temperature. This poses a challenge for single spin initialization an...
Benchmarking the algorithmic performance of near-term neutral atom processors
K. McInroy, N. Pearson, J. Pritchard·Feb 3, 2024
Neutral atom quantum processors provide a viable route to scalable quantum computing, with recent demonstrations of high-fidelity and parallel gate operations and initial implementation of quantum algorithms using both physical and logical qubit enco...
Comparative study of quantum error correction strategies for the heavy-hexagonal lattice
C'esar Benito, Esperanza L'opez, Borja Peropadre +1 more·Feb 3, 2024
Topological quantum error correction is a milestone in the scaling roadmap of quantum computers, which targets circuits with trillions of gates that would allow running quantum algorithms for real-world problems. The square-lattice surface code has b...
Bosehedral: Compiler Optimization for Bosonic Quantum Computing
Junyu Zhou, Yuhao Liu, Yunong Shi +2 more·Feb 3, 2024
Bosonic quantum computing, based on the infinite-dimensional qumodes, has shown promise for various practical applications that are classically hard. However, the lack of compiler optimizations has hindered its full potential. This paper introduces B...
Generalized transmon Hamiltonian for Andreev spin qubits
L. Pavešič, R. Žitko·Feb 3, 2024
We solve the problem of an interacting quantum dot embedded in a Josephson junction between two superconductors with finite charging energy described by the transmon (Cooper pair box) Hamiltonian. The approach is based on the flat-band approximation ...
Quantum simulation of Fermi-Hubbard model based on transmon qudit interaction
A. Vezvaee, Nathan Earnest-Noble, K. Najafi·Feb 2, 2024
The Fermi-Hubbard model, a fundamental framework for studying strongly correlated phenomena could significantly benefit from quantum simulations when exploring non-trivial settings. However, simulating this problem requires twice as many qubits as th...
Hardware Trojans in Quantum Circuits, Their Impacts, and Defense
Rupshali Roy, Subrata Das, Swaroop Ghosh·Feb 2, 2024
The reliability of the outcome of a quantum circuit in near-term noisy quantum computers depends on the gate count and depth for a given problem. Circuits with a short depth and lower gate count can yield the correct solution more often than the vari...