TuringQ — Integrated Photonics (图灵量子)
○ Planned · Not yet implemented
The capabilities described on this page are planned and not yet implemented or released. They explain future design directions and should not be interpreted as delivered features.TuringQ, spun out of Shanghai Jiao Tong University by Jin Xianmin's group, builds integrated photonic quantum processors on lithium-niobate chips.
Technology
| Element | Approach |
|---|---|
| Chip platform | Lithium niobate on insulator (LNOI) photonic chips |
| Fabrication | Femtosecond-laser direct writing; China's first photonic-chip pilot line |
| Products | Per TuringQ public materials, Gen2 has been announced as in volume production, with Gen3 reportedly targeting ~500 modes; product generation, mode count, and delivery status should follow TuringQ's official materials |
| Stack | TuringQ public materials describe a full-stack photonic line spanning chip, hardware, system, and software; claims such as "only" or "full-stack" should be taken per TuringQ's official materials |
| Adoption | Drug discovery, financial risk, materials simulation; finance and power-grid customers (per TuringQ public materials) |
Photonic kernel sketch (conceptual API)
import qalgora
# Conceptual photonic API only; not in the open reference implementation.
# Integrated-photonic interferometry is NOT gate-model and does not use qvector.
modes = qalgora.photonic.modes(4) # waveguide modes on the chip
qalgora.photonic.beam_splitter(modes[0], modes[1])
qalgora.photonic.phase_shift(modes[1], 0.5)
qalgora.photonic.beam_splitter(modes[1], modes[2])
samples = qalgora.photonic.run(modes, target="turingq")Specification API — not in the open reference build yet
This example shows a qalgora-Q specification API (or a third-party library) that the open reference build does not bundle today. It documents the intended interface; to run code now, use the reference build’s supported core API.Integrated optics
Where Jiuzhang uses bulk optics, TuringQ writes interferometers directly into a chip — compact,
stable, and programmable. This is a photonic, not gate-model, machine, so qalgora-Q would drive it
through a conceptual photonics API rather than gate kernels.
References
- TuringQ, company and technology overview. turingq.com
图灵量子 · 集成光子（TuringQ）
○ 规划中
本页所述能力属于规划功能，当前尚未发布或尚未实现。相关内容仅用于说明未来设计方向，不应理解为已交付能力。图灵量子由上海交通大学金贤敏团队孵化,基于铌酸锂芯片研制集成光子量子处理器。
技术路线
| 要素 | 方案 |
|---|---|
| 芯片平台 | 绝缘体上铌酸锂（LNOI）光子芯片 |
| 制造工艺 | 飞秒激光直写;运营中国首条光子芯片中试产线 |
| 产品 | 据图灵量子公开资料，Gen2 称已量产，Gen3 据称目标约 500 模；产品代际、模式数和交付状态请以图灵量子官方资料为准 |
| 技术体系 | 图灵量子公开资料称其覆盖芯片、硬件、整机、软件的全栈光量子体系；「国内唯一」「全栈」等表述请以图灵量子官方资料为准 |
| 落地应用 | 药物研发、金融风控、材料模拟;在金融、电网等客户部署（据图灵量子公开资料） |
光子内核示意（概念接口）
import qalgora
# 仅为概念性光子接口；开源参考实现尚未包含。
# 集成光子干涉并非门模型，也不使用 qvector。
modes = qalgora.photonic.modes(4) # 芯片上的波导模式
qalgora.photonic.beam_splitter(modes[0], modes[1])
qalgora.photonic.phase_shift(modes[1], 0.5)
qalgora.photonic.beam_splitter(modes[1], modes[2])
samples = qalgora.photonic.run(modes, target="turingq")规范接口 · 参考实现暂未包含
此示例展示的是 qalgora-Q 规范中的接口（或第三方库），开放参考实现目前尚未内置，仅用于说明预期用法；如需立即运行，请使用参考实现已支持的核心 API。集成光学
九章使用体光学,图灵量子则把干涉仪直接写进芯片——更紧凑、更稳定、可编程。它是光量子而非门模型设备，因此 qalgora-Q 会通过概念性的光子学接口而非门内核来驱动它。
参考文献
- TuringQ, company and technology overview. turingq.com