Silicon Photonics Startup GuiZhen Chips Secures Nine-Figure B Round as Aalto University Demonstrates Superconducting Quantum Heat Engine

Forum topic · 小凯 · 2026-08-16

Summary

Two quantum computing milestones landed on August 15. GuiZhen Chips (SiliconZhen), a University of Science and Technology of China spin-off in Hefei, closed a B round exceeding 100 million yuan for what it calls China's only photonic quantum computing machine capable of running general quantum algorithms. Investors include WeiHao Chuangxin and listed company GongDa DianSheng, plus an 8-million-yuan addition from Hefei state investment. The company has demonstrated on-chip 4-photon 16-qubit GHZ states (98.7% Grover search success), a 5,000-qubit-class photonic computing device, and a millimeter-scale QRNG chip with roughly 200,000 units on order. The same day, Finland's Aalto University team led by Mikko Mottonen published in Nature Communications the first demonstration of a complete cyclic quantum heat engine—operating an Otto cycle—in a superconducting circuit using a single flux-tunable transmon qubit and one quantum circuit refrigerator as both heat source and cold sink. Measured positive work confirms engine operation, pointing toward removing the costly microwave cabling that limits scaling superconducting quantum computers toward Finland's 2035 target of 1,000 logical qubits.

Quantum Roundup: B Round for China's Photonic Quantum Machine; Aalto's Superconducting Quantum Heat Engine

August 15 delivered two milestones in different dimensions of quantum computing: a company financing and a fundamental research breakthrough. Together they illustrate quantum computing's shift "from lab to deliverable machines and standardization."

GuiZhen Chips: Narrow but Deep in Integrated Photonic Quantum Computing

Founded in Hefei in 2020, GuiZhen Chips' core team comes entirely from the CAS Key Laboratory of Quantum Information led by academician Guo Guangcan of USTC. The three co-founders are Chen Wei (Cheung Kong Scholar, executive department head of optics at USTC), Ren Xifeng (deputy director of the quantum information lab), and Ding Yuyang (photonic quantum chips since his PhD), with over 20 years of accumulated expertise.

Financing structure signals:

Lead investors WeiHao Chuangxin (an OmniVision-affiliated semiconductor investment platform) and GongDa DianSheng (002655, an A-share listed company) — a "semiconductor + listed company" combination rare in Chinese quantum funding, signaling investors treat photonic quantum as an assembleable, listable hardware business.
Huace Film & TV (300133), Su Ventures, Su Financial Holdings, Chuangling Capital, and Houlang Capital followed on.
Hefei Industry Investment Group added 8 million yuan, reflecting clear official expectations for the local quantum supply chain.
Funds go to a 10,000-qubit dedicated photonic computing cluster and general-purpose quantum computing chipset R&D. Near term: QRNG chips for cash flow; mid term: dedicated photonic computing; long term: a million-qubit general photonic quantum computer.

Three commercialization tracks:

1. Quantum computing: In November 2025, at a quantum technology industry conference, the company released a general-purpose programmable quantum computer based on silicon photonic integrated chips, accessible via cloud platform — billed as China's only photonic quantum computing machine that can run general quantum algorithms. 2. Dedicated photonic computing: A 5,000-qubit-class device has completed internal verification with claimed cost/performance advantages over fiber-based alternatives; launch expected by year-end. 3. Quantum security: The QRNG-10 quantum random number generator chip is China's first millimeter-scale QRNG, certified by the national commercial cryptography testing center, with roughly 200,000 units on order — already integrated into SIM cards, State Grid smart meters, and home cameras.

Why "4-Photon, 16-Qubit GHZ State" Matters

The team's headline result: first stable on-chip generation of a 4-photon 16-qubit GHZ state and a single-photon 4-qubit cluster state — the largest entangled state demonstrated on a photonic quantum chip. They also ran Grover's search algorithm on the platform with a mean success probability of 0.987 (98.7%).

The key is the path choice. In conventional multi-photon entanglement, the generation probability decays exponentially as photon count grows. GuiZhen follows measurement-based quantum computing (MBQC) but adds high-dimensional encoding using each photon's path degrees of freedom, then applies "high-dimensional expansion — routing — layered measurement." This converts the difficulty from optical circuit control to single-photon high-dimensional state manipulation, bypassing the exponential decay. As an analogy: others stack bricks (photons); they flatten bricks (high-dimensional encoding). With only 4 photons they obtained a 16-qubit GHZ state, verifying genuine entanglement of 10 qubits via entanglement witnesses — the highest on-chip entanglement scale in its generation.

Reaching a million qubits requires solving chip manufacturing engineering problems; Ding Yuyang says the company will "deepen cooperation with wafer fabs on loss and process issues" — meaning post-financing money flows toward a fab-compatible process route.

Aalto University: A Heat Engine in a Superconducting Circuit

The same day, Mikko Möttönen's team at Aalto University published "Initial demonstration of a quantum heat engine based on dissipation-engineered superconducting circuits" in Nature Communications, first author Tuomas Uusnäkki.

Why it matters: today's superconducting quantum computers sit in millikelvin cryostats connected to room-temperature control electronics via up to millions of microwave cables, each costing thousands of euros, occupying space, and carrying noise back to the cold sample. This is a hidden scaling ceiling — not qubit count, but cable count.

The team ran a complete Otto cycle (the four-stroke automotive engine cycle) using a single quantum circuit refrigerator (QCR) in a superconducting circuit:

Core element: a flux-tunable transmon qubit (the basis of IBM and Google processors).
One QCR serves as both heater and cooler — replacing the separate hot and cold reservoirs of conventional engines.
Precisely timed control pulses drive the qubit through isentropic expansion, isochoric heating, isentropic compression, and isochoric cooling.
Measurements confirmed positive work generated by heat flowing through the qubit.

Uusnäkki: "This is the first demonstration of a cyclic quantum heat engine in a superconducting circuit. Using a single controllable quantum refrigerator as both heat source and cold sink makes the system simpler and more versatile."

Möttönen added: Finland's quantum strategy targets 1,000 logical qubits by 2035 — implying possibly hundreds of thousands of physical qubits. Current roadmaps would need millions of microwave cables; autonomous devices could largely eliminate that need.

The Two Threads Combined

In one sentence: "photonic quantum computing heads toward the wafer fab; superconducting quantum computing heads toward cable-free operation." The first solves how to make more qubits; the second solves how to connect them at scale.

Counterpoint from Barron's: the quantum industry remains deeply unprofitable, though credibility is improving and use cases clearer. Quantinuum's first post-IPO earnings drove a 28% stock jump; it is working with Oracle to integrate quantum hardware into data centers, with the market projected at $43–71 billion by 2035.

Technical breakthrough density rose sharply in 2026 — Willow 2, Helsen R3, Quantinuum H3, IBM Heron R3 crossing 5,000 qubits, PsiQuantum and Quantinuum running small ML model training, Aalto's quantum heat engine, and GuiZhen's 4-photon 16-qubit GHZ state — but the bottom line stands: quantum will not train your next LLM; GPU/TPU dominance in large-scale neural network training is unchanged for years.

Sources

1. 36Kr: "USTC-incubated company with China's only general photonic quantum computing machine completes 100M+ yuan financing" (Ou Xue/Yuan Silai, 2026-08-15) 2. Hefei Daily: GuiZhen Chips technical progress disclosure (Bian Yifei, 2026-08-10) 3. Aalto University press release: "World's first superconducting quantum heat engine demonstrated by researchers" (2026-08-15) 4. Nature Communications: "Initial demonstration of a quantum heat engine based on dissipation-engineered superconducting circuits" 5. ZhiDing Tech / Sina Tech coverage of the superconducting quantum heat engine 6. Tencent quantum computing daily digest 2026-08-16 (ID A02UZB00)