activity
20242026
collaborators

9 papers

quant-ph2026

Idling error suppression through gate scheduling

Hoiki Madison Liu, Kazunori Maruyama, Hirotaka Oshima +1

Achieving high-precision quantum computation requires effective suppression of idling errors that occur when qubits remain inactive during waiting periods within a quantum circuit.…

quant-ph2026

Adaptive Window Decoding based on Spatiotemporal Complementary Gap

Moeto Mishima, Riki Toshio, Kaito Kishi +4

Real-time decoding plays a crucial role in practical fault-tolerant quantum computing. Window decoding, in which the decoding problem is divided into windows, is a promising approa…

quant-ph2026

Implementation and verification of coherent error suppression using randomized compiling for Grover's algorithm on a trapped-ion device

Masatoshi Ishii, Hammam Qassim, Tomochika Kurita +4

In near-term quantum computations that do not employ error correction, noise can proliferate rapidly, corrupting the quantum state and making results unreliable. These errors origi…

quant-ph2026

STAR-Magic Mutation: Even More Efficient Analog Rotation Gates for Early Fault-Tolerant Quantum Computer

Riki Toshio, Shota Kanasugi, Jun Fujisaki +3

We introduce STAR-magic mutation, an efficient protocol for implementing logical rotation gates on early fault-tolerant quantum computers. This protocol judiciously combines two of…

quant-ph2026

Even More Efficient Soft-Output Decoding with Extra-Cluster Growth and Early Stopping

Kaito Kishi, Riki Toshio, Jun Fujisaki +3

In fault-tolerant quantum computing, soft outputs from real-time decoders play a crucial role in improving decoding accuracy, post-selecting magic states, and accelerating lattice…

quant-ph2025

Decoder Switching: Breaking the Speed-Accuracy Tradeoff in Real-Time Quantum Error Correction

Riki Toshio, Kaito Kishi, Jun Fujisaki +3

The realization of fault-tolerant quantum computers hinges on the construction of high-speed, high-accuracy, real-time decoding systems. The persistent challenge lies in the fundam…