Quantum Leap: World’s First Hybrid Quantum-Photonic Chip

With investment soaring and breakthroughs multiplying, quantum technology is closer than ever to becoming a reality. 

According to McKinsey, the three main pillars of quantum technology, which are quantum computing, quantum communication, and quantum sensing, together could generate as much $97 billion in revenue worldwide within the next decade. 

The technology deals with the principles of quantum mechanics to create innovative technologies that surpass the capabilities of classical technologies.

One of the promising ways to develop quantum technologies is through photonics. This is due to its natural compatibility with optical interconnects for entanglement distribution, its robustness to decoherence at room temperature, and its ability to be shrunk into a chip-scale format.

Photonics is the science of light (photons) and deals with the generation, detection, and manipulation of light for various applications.

For quantum-photonic systems, silicon photonics offers the most scalable platform. They can be built using the semiconductor fabrication techniques developed in the complementary metal-oxide-semiconductor (CMOS) micro-electronics industry, which already produces chips at scale.

While silicon photonics could soon be used to create vast numbers of physical qubits, required to achieve useful quantum information processing in miniaturized optical devices for generating and manipulating quantum states of light, actually building these silicon quantum-photonic integrated circuits poses serious challenges.

The issues are related to thermal crosstalk, free-carrier and self-heating nonlinearities, and the need to manage extreme sensitivity to any variations in temperature and process. 

The thing is that for silicon quantum photonic devices to function properly, they need continuous monitoring as well as control by electronic circuits. So, bulky off-chip electronics have been used, which partially addresses the issues, but that also results in giving up many benefits of a chip-scale platform. 

In order to realise the full potential of silicon photonics as a platform for quantum information processing, we have to resolve the classical control bottleneck.

So, an interdisciplinary team of researchers has introduced an electronic-photonic quantum system-on-chip. It is fabricated in a commercial 45-nm CMOS microelectronics foundry.

This is the world’s first hybrid chip that combines electronics, photonics, and quantum power. 

The use of CMOS makes the research all the more commendable. This semiconductor technology is the cornerstone of modern electronics. Companies such as Samsung, Sony, Intel, and TSMC use it to mass-produce electronics.

The 45 nm node, meanwhile, is proven and cost-effective. It is also compatible with the broad infrastructure of silicon manufacturing.

Their fully integrated, modular control approach, as per the team, “paves the way for silicon quantum photonics to achieve the massive scale required for future generations of quantum information systems.”

Interdisciplinary Collaboration Pushes Quantum Tech Closer to Reality

The latest study, which marks a major breakthrough in quantum technology, was conducted by researchers from UC Berkeley, Boston University, and Northwestern University.

“The kind of interdisciplinary collaboration this work required is exactly what’s needed to move quantum systems from the lab to scalable platforms. We couldn’t have done this without the combined efforts in electronics, photonics, and quantum measurement.”

– Prem Kumar, professor of electrical and computer engineering at Northwestern

The research was supported by the National Science Foundation. Published in Nature Electronics, the study details the system¹ that has successfully integrated quantum light sources and stabilizing electronics onto a single silicon chip, fabricated using the standard 45-nm semiconductor process.

This combination is what enables the chip to generate streams of correlated photon pairs constantly, which are the foundation of various quantum applications.

Each silicon chip has an array of “quantum light factories”, in total twelve independent quantum light sources that are powered by laser light. They also depend on microring resonators to generate photon pairs. Each of these sources has a dimension of less than a millimeter in each direction.

This marks a major step toward the development of more complex quantum systems composed of multiple interconnected chips and the mass production of “quantum light factory” chips. According to senior study author Miloš Popović, who’s an associate professor of electrical and computer engineering at BU:

“Quantum computing, communication, and sensing are on a decades-long path from concept to reality. This is a small step on that path—but an important one, because it shows we can build repeatable, controllable quantum systems in commercial semiconductor foundries.”

Currently, in the early stages of development, quantum technology differs from existing computers, which use classical bits that are either zero or one, by utilizing quantum bits (qubits). 

These qubits can exist in a superposition of both states at the same time, allowing quantum computers to perform calculations in parallel, in turn, leading to massive speedups. Here, superposition is the existence of a quantum system in multiple states at once. 

Cracking the Scalability Code with Real-Time Self-Tuning

Now, there are different ways quantum technology can be applied, and photonics is one of them, where a controlled stream of light, single photons, or entangled photon pairs, is required to perform their function. 

These steady streams of quantum light are generated using devices like microring resonators and quantum dots.

Microring resonators are precisely engineered photonic devices that allow for the generation of quantum states of light on a chip. These are essential elements in silicon photonics, as they offer a very efficient way to guide light at the nanometer scale. This is achieved by looping the light in a circle to reach a targeted wavelength (resonance).

To generate streams of quantum light in the form of correlated pairs of photons, the microring resonators need to be tuned in sync with the incoming laser light powering each quantum light factory on the chip. It is also used as fuel for the generation process.

The resonators, however, are very sensitive to variations in temperature and manufacturing. This can cause them to be out of sync and disrupt the steady generation of quantum light.

To prevent the disruption to light generation when resonators are pushed out of sync, the team built an integrated system that actively stabilizes quantum light sources on chip, in particular, the resonators generating streams of correlated photons. These light sources are present in each chip and operate in parallel. 

“What excites me most is that we embedded the control directly on-chip — stabilizing a quantum process in real time. That’s a critical step toward scalable quantum systems.”

– Anirudh Ramesh, a PhD student at Northwestern who led the quantum measurements

Interestingly, the extreme sensitivity of the microring resonators is actually the foundation of quantum light sources, the very reason why quantum light streams can be generated efficiently and in a minimal chip area. However, even small changes in temperature can significantly impact the photon-pair generation process. 

To overcome this problem, the researchers implanted a real-time control system right onto the chip. They integrated photodiodes inside every resonator in a specific way, allowing them to monitor the performance, specifically the alignment with the incoming laser, while preserving the quantum light generation.

Meanwhile, miniature heaters and control logic on the chip constantly adjust the resonance in response to drift. So, even as the conditions fluctuate, this built-in feedback loop maintains the quantum light generation process, causing the device to behave predictably.

The self-tuning enables all twelve resonators to work together in perfect sync, without needing any bulky stabilization equipment. This is a major point, as it’s a key requirement for scaling up quantum systems. According to Imbert Wang, a PhD student at Boston University who led the photonic device design:

“A key challenge relative to our previous work was to push photonics design to meet the demanding requirements of quantum optics while remaining within the strict constraints of a commercial CMOS platform. That enabled co-design of the electronics and quantum optics as a unified system.”

The entire system was fabricated in a commercial 45-nm CMOS chip platform developed through a collaboration between BU, UC Berkeley, GlobalFoundries, and Ayar Labs. The startup Ayar Labs is involved in creating technology for chips using pulses of light and secured $155 million in venture funding from AMD Ventures, Intel Capital, and Nvidia at a valuation of $1 billion, which “sets the stage for volume production.”

The manufacturing process enables advanced optical interconnects for AI and supercomputing, and now complex quantum photonic systems on a scalable silicon platform.

“Our goal was to show that complex quantum photonic systems can be built and stabilized entirely within a CMOS chip. That required tight coordination across domains that don’t usually talk to each other.”

– Daniel Kramnik, a PhD student at UC Berkeley who led chip design, packaging, and integration

The reliance of the chip on the techniques that are already in use means there’s no need to create new setups, in turn, paving the way for scalable quantum computing.

Investing in Quantum Systems 

The world of quantum tech is making rapid progress, reaching closer to reality with each passing year. Here, International Business Machines (IBM +1.49%) is among those leading the space, particularly in quantum computing. Recently, researchers from IBM® and quantum startup Pasqal released a white paper², in which they laid out the definition of quantum advantage, how the claims can be scientifically validated, and ways to achieve it.

International Business Machines (IBM +1.49%)

This month, IBM Quantum even worked with Moderna to model mRNA structure using quantum simulation. For this, they used 80 qubits of an IBM Quantum Heron processor, which ran a specialised algorithm with an aim to “improve human health.”

“We believe it’s critical to explore every available tool, including quantum computing, to scale our progress today, rather than wait for the technology to fully mature in the future.”

– Moderna associate scientific director for quantum algorithms and applications, Alexey Galda

Last month, IBM also made a big announcement that it is building the world’s first large-scale quantum computer that it expects to deliver to clients in 2029. 

The fault-tolerant quantum computer called IBM Starling will be 20,000 times more powerful than the existing quantum computers and “would require the memory of more than a quindecillion of the world’s most powerful supercomputers.”

According to the company’s roadmap, the arrival of Starling would follow several milestones, including the first demonstration of ‘quantum advantage’ next year, where quantum computers will begin to surpass classical computers in practical computing applications.

But before that, IBM Quantum Loon will debut later this year along with its Nighthawk chip. And sometime next year, IBM Quantum Kookaburra will follow that, featuring the company’s first modular processor to store and process encoded information. Then, IBM Quantum Cockatoo will be rolled out the year after that, whose architecture “will link quantum chips together like nodes in a larger system, avoiding the need to build impractically large chip.”

These releases will ultimately lead to the launch of Starling before the decade is over. This innovation hopes to run “100 million quantum operations using 200 logical qubits.”

With Starling, IBM aims to solve real-world challenges, something quantum technology has yet to achieve. According to its CEO, Arvind Krishna, their quantum computer will also “unlock immense possibilities for business.”

According to its roadmap, IBM’s quantum computing goals extend beyond Starling. Blue Jay will be the second-generation fault-tolerant quantum computing ISA, which is not expected to arrive until after 2033. By then, the computing platform may scale up to 1 billion gates and 2,000 logical qubits. 

When it comes to the market performance of $262 bln market cap IBM, which is a provider of global hybrid cloud and AI and consulting expertise, its shares are currently trading above $265, up 28.29% YTD. The company pays a dividend yield of 2.38%.

Most recently, the company reported its Q2 2025 results, which showed an 8% increase in revenue to $17 bln, $6.1 billion in net cash from operating activities, and free cash flow of $4.8 billion.

“We once again exceeded expectations for revenue, profit, and free cash flow in the quarter. IBM remains highly differentiated in the market because of our deep innovation and domain expertise, both crucial in helping clients deploy and scale AI. Our generative AI book of business continues to accelerate and now stands at more than $7.5 billion.”

– CEO Krishna

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Conclusion

Quantum technology is rapidly advancing, making its way from a concept to a scalable industry, driven by breakthroughs like hybrid quantum-electronic-photonic chips. 

By integrating quantum light sources, stabilizing electronics, and scalable manufacturing into a single chip, the study has optimally created a blueprint for the quantum future. And as quantum photonic systems make progress, the latest hybrid chips could become the foundation of technologies like advanced sensing, secure communication networks, and quantum computing.

With IBM building massive quantum processors, the times are surely exciting, with the next decade looking prime to mark the point where quantum computing finally delivers real-world impact.

Click here for a list of top quantum computing companies of 2025.

References:

1. Kramnik, D.; Wang, I.; Ramesh, A.; Ghorbani, M.; Patel, V.; Lin, Y.; Choi, H.; Liu, Q.; Das, R.; Jensen, T.; Nakamura, S.; Lee, J.; Bowers, J. E.; Faraon, A.; Englund, D.; Painter, O.; Vučković, J. Scalable Feedback Stabilization of Quantum Light Sources on a CMOS Chip. Nature Electronics, 8, (2025). Published online July 14, 2025. https://doi.org/10.1038/s41928-025-01410-5
2. Lanes, O.; Beji, M.; Corcoles, A. D.; Dalyac, C.; Gambetta, J. M.; Henriet, L.; Javadi-Abhari, A.; Kandala, A.; Mezzacapo, A.; Porter, C.; Sheldon, S.; Watrous, J.; Zoufal, C.; Dauphin, A.; Peropadre, B. A framework for quantum advantage. arXiv preprint arXiv:2506.20658v2 [quant-ph] (2025). Published online July 14, 2025. https://doi.org/10.48550/arXiv.2506.20658