Logical quantum processor based on reconfigurable atom arrays
Suppressing errors is the central challenge for useful quantum computing, requiring
quantum error correction (QEC),,,–for large-scale processing. However, the overhead in the …
quantum error correction (QEC),,,–for large-scale processing. However, the overhead in the …
A race-track trapped-ion quantum processor
We describe and benchmark a new quantum charge-coupled device (QCCD) trapped-ion
quantum computer based on a linear trap with periodic boundary conditions, which …
quantum computer based on a linear trap with periodic boundary conditions, which …
Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem
The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm
for solving optimization problems on quantum computers. However, the potential of QAOA to …
for solving optimization problems on quantum computers. However, the potential of QAOA to …
Correlated decoding of logical algorithms with transversal gates
Quantum error correction is believed to be essential for scalable quantum computation, but
its implementation is challenging due to its considerable space-time overhead. Motivated by …
its implementation is challenging due to its considerable space-time overhead. Motivated by …
High-performance fault-tolerant quantum computing with many-hypercube codes
H Goto - Science Advances, 2024 - science.org
Standard approaches to quantum error correction for fault-tolerant quantum computing are
based on encoding a single logical qubit into many physical ones, resulting in asymptotically …
based on encoding a single logical qubit into many physical ones, resulting in asymptotically …
Demonstrating Bayesian quantum phase estimation with quantum error detection
Quantum phase estimation (QPE) serves as a building block of many different quantum
algorithms and finds important applications in computational chemistry problems. Despite …
algorithms and finds important applications in computational chemistry problems. Despite …
Realization of quantum signal processing on a noisy quantum computer
Quantum signal processing (QSP) is a powerful toolbox for the design of quantum
algorithms and can lead to asymptotically optimal computational costs. Its realization on …
algorithms and can lead to asymptotically optimal computational costs. Its realization on …
Large-scale quantum reservoir learning with an analog quantum computer
Quantum machine learning has gained considerable attention as quantum technology
advances, presenting a promising approach for efficiently learning complex data patterns …
advances, presenting a promising approach for efficiently learning complex data patterns …
Demonstration of quantum computation and error correction with a tesseract code
A critical milestone for quantum computers is to demonstrate fault-tolerant computation that
outperforms computation on physical qubits. The tesseract subsystem color code protects …
outperforms computation on physical qubits. The tesseract subsystem color code protects …
A model of randomly-coupled Pauli spins
A bstract We construct a model of Pauli spin operators with all-to-all 4-local interactions by
replacing Majorana fermions in the SYK model with spin operators. Equivalently, we replace …
replacing Majorana fermions in the SYK model with spin operators. Equivalently, we replace …