{"id":26004,"date":"2025-07-21T11:42:11","date_gmt":"2025-07-21T11:42:11","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/26004\/"},"modified":"2025-07-21T11:42:11","modified_gmt":"2025-07-21T11:42:11","slug":"researchers-pack-a-quantum-light-factory-into-a-1mm%c2%b2-cmos-chip-combines-photonics-electronics-and-quantum-hardware-with-traditional-silicon-manufacturing-that-can-achieve-mass-scale","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/26004\/","title":{"rendered":"Researchers pack a “quantum light factory” into a 1mm\u00b2 CMOS chip \u2014 combines photonics, electronics, and quantum hardware with traditional silicon manufacturing that can achieve mass scale"},"content":{"rendered":"

Researchers from Boston University<\/a>, UC\u202fBerkeley, and Northwestern University have created something that sounds straight out of a sci-fi movie: a \u201cquantum light factory\u201d squeezed onto a 1\u202fmm\u00b2 silicon chip. Built using a standard 45\u202fnm CMOS manufacturing process\u2014the same kind used for standard x86 and ARM processors\u2014this breakthrough brings quantum hardware a step closer to the world of mass production. The work, published in Nature Electronic<\/a>, could pave the way for scalable quantum computing<\/a> that doesn’t require exotic setups, instead relying on mass production techniques that we already employ today.<\/p>\n

Think of this chip as a prototype for a future quantum factory line. It packs 12 tiny silicon loops, called “microring resonators,” each acting as a generator of photon pairs with special quantum properties. These photon pairs are the lifeblood of many quantum technologies, but producing them usually requires fragile lab setups. Here, they\u2019re generated directly on a chip no bigger than a fingernail.<\/p>\n

What makes this remarkable is that the chip doesn’t just produce quantum light; it\u2019s more about keeping that light stable. Microring resonators are powerful but temperamental\u2014small temperature changes or manufacturing quirks can throw them out of tune, halting the photon flow. To solve this, the researchers built a feedback system directly into the chip; each resonator has a tiny photodiode to monitor its performance, along with miniature heaters and control circuits that adjust it on the fly. This self-tuning approach means all 12 resonators can work together in perfect sync, without the bulky stabilization equipment usually needed.<\/p>\n

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\u201cThis is a small step, but an important one,\u201d said Milo\u0161 Popovi\u0107, associate professor at Boston University and one of the senior authors. \u201cIt shows we can build repeatable, controllable quantum systems in commercial semiconductor foundries.\u201d That\u2019s the real story here\u2014this isn\u2019t just a niche, bleeding-edge lab demo, but proof that quantum chips can be made with the same industrial techniques used to build CPUs and GPUs. Of course, quantum computing is nowhere near the maturity of standard semiconductors powering our devices today, but this is a step closer to that eventuality.<\/p>\n

\"Packaged<\/p>\n

Packaged circuit board containing the chip used in the experiments. (Image credit: Boston University)<\/p>\n

Let’s talk about the most important revelation. The team\u2019s choice of CMOS (Complementary Metal-Oxide-Semiconductor) is a game-changer. CMOS is the backbone of modern electronics, used by companies like TSMC<\/a> to mass-produce everything from smartphones to supercomputers. While the 45\u202fnm node used here isn\u2019t cutting-edge, it\u2019s proven, cost-effective, and compatible with the vast infrastructure of silicon manufacturing. The chip was built using a platform co-developed with GlobalFoundries <\/a>and Ayar Labs, a company already leading the charge in optical interconnects for AI and high-performance computing.<\/p>\n

This overlap with the AI world is no coincidence. Nvidia CEO Jensen Huang recently called out microring resonators<\/a>\u2014like those on this chip\u2014as key components for scaling AI hardware via optical connections. This new research shows that the same photonics technology could also unlock scalable quantum systems. It\u2019s not hard to imagine a future where quantum and AI hardware share similar silicon platforms. Moreover, Nvidia is already heavily investing in this field<\/a>, so we can only expect development to ramp up.<\/p>\n

The term \u201cquantum light factory\u201d isn\u2019t just for flair, either. Just as classical chips rely on streams of electrons and optical networks depend on laser light, future quantum technologies will need a steady supply of quantum light. By proving that these quantum light sources can be built, stabilized, and replicated on silicon, the team has shown that quantum hardware can move beyond one-off experiments and into something that can be scaled like traditional computing<\/a>.<\/p>\n

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\"The<\/p>\n

The team of researchers that led the project. (Image credit: Boston University)<\/p>\n

Some of the researchers involved are already taking this expertise into industry roles. Team members have joined companies like PsiQuantum, Ayar Labs, and Google<\/a> X, all of which are betting heavily on photonic and quantum technologies. It\u2019s another sign that this field is moving rapidly from academic research to real-world products, even if they’re sometimes more fun-oriented<\/a> than revolutionary.<\/p>\n

Backed by the National Science Foundation\u2019s Future of Semiconductors (FuSe) program, the Packard Fellowship, and the Catalyst Foundation, the project shows how far interdisciplinary collaboration can go. Photonics, electronics, and quantum optics are worlds apart, but this chip proves they can be brought together on a commercial platform.<\/p>\n

If Intel\u2019s 4004 microprocessor marked the start of mass-produced computing power, this 1\u202fmm\u00b2 quantum light factory could be remembered as the first step toward mass-produced quantum hardware. What once needed an entire lab bench now fits onto a silicon wafer\u2014and that\u2019s a leap worth paying attention to. Who knows? Maybe a decade from now, you’ll be seeing a new TSMC competing for quantum computing excellence, especially now that there’s already an operating system for it <\/a>out there.<\/p>\n

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