Tianyan Quantum Cloud Achieves Advantage with 99.90% Fidelity over 24 Cycles, Completing Tasks in Minutes

Quantum computing promises to revolutionise fields from medicine to materials science, but access to powerful quantum hardware remains a significant barrier, a challenge that Tianyan Quantum Group from China Telecom Quantum Information Technology Group Co., Ltd now addresses. Researchers led by Tianyan Quantum Group demonstrate a cloud-accessible quantum prototype, named Tianyan-287, featuring 105 qubits and achieving remarkably high operational fidelities. This platform completes complex calculations, such as random circuit sampling, in minutes, a task that would take even the most powerful classical supercomputers millennia. By democratising access to this high-performance quantum hardware and providing an open-source software development kit, the team enables researchers worldwide to validate and explore the potential of practical quantum advantage. This prototype incorporates 105 qubits and achieves remarkably high operational fidelities, exceeding 99. 5% for single-qubit gates and reaching 98. 2% for two-qubit gates, ensuring accurate and reliable quantum calculations. The system employs advanced control electronics and calibration techniques to maintain qubit coherence and minimise errors, enabling the execution of complex quantum algorithms. These results establish Tianyan-287 as a leading platform for exploring and validating quantum algorithms, and for providing cloud-based access to quantum computing resources for a broad range of users. Tests demonstrate two-qubit gate and readout fidelities of 99. 90%, 99. 56%, and 98. 7%, respectively. In a benchmark task involving random circuit sampling on a 74-qubit system over 24 cycles, the platform completed one million samples in just 18. 4 minutes, a calculation estimated to require approximately 16,000 years on current state-of-the-art classical supercomputers, highlighting the potential for quantum acceleration. To facilitate this, the platform provides access via Cqlib, an open-source software development kit designed for working with quantum systems at the level of extended quantum circuits, operators, and primitives. The cloud service aims to democratise access to high-performance quantum hardware, enabling the community to validate and. Tianyan Computer, 74-Qubit Performance Characterisation Qubit Count: The experiments were conducted on a 74-qubit subset of a larger quantum computer. * Key Performance Metrics (for the 74-qubit subset): * Frequency: Mean = 4. 0GHz * Decoherence Time: Mean = 47. 7μs * Echo Time: Mean = 41μs * Readout Error: Mean = 1. 3% * Single-Gate Error: Mean = 1. 0 ‰ (per mille, parts per thousand) * Two-Gate Error: Mean = 4. 4 ‰. These metrics demonstrate the high quality and stability of the qubits. * Purpose: Cqlib is a software framework designed to support quantum computing experiments and application development, lowering the barrier to entry for quantum computing. * Core Capabilities: * End-to-End Circuit Processing: Handles the entire workflow from circuit construction, compilation, optimization, to result output. Simulation and Visualization: Allows for classical simulation and visualization of quantum circuits. * Interoperability: Compatible with popular quantum toolkits like Qiskit, Cirq, and PennyLane through adapters. * Future Development: The team is working on quantum machine learning and algorithm libraries. This platform currently features five quantum computing systems, including Tianyan-287, which comprises 105 qubits and demonstrates high fidelity in single, two, and readout gate operations. Utilizing this platform and the Cqlib toolkit, the team successfully performed a large-scale random circuit sampling (RCS) experiment involving 74 qubits over 24 cycles, completing the task in 18. 4 minutes, a calculation estimated to require approximately 16,000 years on current state-of-the-art supercomputers. This achievement marks a significant step towards commercially accessible quantum computing power and demonstrates the potential to translate high-precision quantum operations into practical services. While acknowledging that the RCS tasks employed utilize specific gate types, the researchers highlight the adaptability of the underlying technologies, including auto-calibration routines, low-latency optimization, and phase compensation techniques, to other gate types and algorithms.

The team intends for this platform to serve as an open and pragmatic pathway for developers, researchers, and enterprises to explore and harness quantum computational advantage, ultimately advancing near-term applications and the development of future large-scale quantum computing. 👉 More information 🗞 Tianyan: Cloud services with quantum advantage 🧠 ArXiv: https://arxiv.org/abs/2512.10504 Tags: Rohail T. As a quantum scientist exploring the frontiers of physics and technology. My work focuses on uncovering how quantum mechanics, computing, and emerging technologies are transforming our understanding of reality. I share research-driven insights that make complex ideas in quantum science clear, engaging, and relevant to the modern world. Latest Posts by Rohail T.: Multiple-time Quantum Imaginary Time Evolution Enhances Ground State Fidelity and Reduces Measurement Overhead for Complex Hamiltonians December 12, 2025 Adaptive Subspace Variational Quantum Eigensolver Enables Microwave Simulation with Reduced Resource Consumption December 12, 2025 Graphene Heterostructures Exhibit Pair-Density-Wave Quantum States in Quarter-Metals with Four-Fold Valley-Spin Degeneracy December 12, 2025