Conductor Quantum (YC S24)

???Conductor Quantum?launched! Quantum computers on silicon chips using AI "AI software to enable scalable semiconductor quantum computers." ???www.conductorquantum.com ?? Conductor Quantum is building leading AI software that creates qubits by learning and understanding the principles of quantum transport in semiconductor chips. ?? Their AI software will replace the human in the loop, unlocking rapid qubit generation and fabrication feedback iteration cycles. ? Automatic qubit creation and control are the foundation of the first quantum operating system on semiconductor chips. ?? Book a demo here: https://lnkd.in/gkCxTQbP ?? Quantum engineers who want to get back to building and save themselves 100s of hours per qubit created - Email the founders! ?? They would love intros to chip designers/verifiers/manufacturers or anyone who wants to bring chip manufacturing back to the USA Congrats Brandon Severin & Joel Pendleton!! https://fondo.info/4eFJU8W

Conductor Quantum is proud to welcome Professor Andrea Morello to our Scientific Advisory Team. Andrea’s pioneering work in quantum technologies, including the first single-shot readout of an electron spin in silicon and the longest-lived quantum memory in solid state, has set new standards in the field. His contributions to education, notably the creation of the world’s first undergraduate degree in quantum engineering at UNSW, have inspired the next generation of quantum scientists. We are honored to have Andrea join us as we continue advancing the future of quantum technology. https://lnkd.in/ebGmQpGG

We're proud to announce that Silvano De Franceschi is joining our Scientific Advisory Team. With an illustrious career in experimental condensed matter physics and quantum nanoelectronics, Silvano brings a wealth of expertise. At CEA Grenoble, Silvano’s work has continued to be core to the community of semiconductor quantum devices, famously demonstrating a?spin qubit in a silicon chip made with an industry-standard fabrication process. We are delighted to have Silvano De Franceschi as part of our team as we drive quantum technology forward. https://lnkd.in/dcJvgVzm

Conductor Quantum is excited to announce that Professor Susan Coppersmith has joined our Scientific Advisory Team. A leading figure in theoretical condensed matter physics, Sue has made groundbreaking contributions across quantum computing, condensed matter theory, and complex materials. Over the course of Sue’s career, she has published over 200 papers and her work has been cited over 17,000 times. At Conductor Quantum, we are thrilled to work with Sue to push the boundaries of quantum technology. We are honored to have Professor Susan Coppersmith as part of our team. Learn more about Sue in our announcement post below. https://lnkd.in/eNBM8FrG

“Before you can use a quantum computer, you first need to be able to turn it on.” Research that I carried out during my PhD at Oxford has brought us closer to that goal. I'm pleased to share that our paper titled “Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning” has been published in Nature Scientific Reports. We developed CATSAI (pronounced: Cats-eye), an algorithm capable of tuning three different semiconductor quantum devices—silicon finFET, Ge/Si nanowire, and Ge/SiGe heterostructure— to double quantum dots, using a single approach Forming double quantum dots in these devices is a key step towards creating qubits, the essential building blocks of quantum computers. Not long ago, it was thought that each device type would need its own specialized algorithm. CATSAI changes that by tuning different devices and revealing the complex hypersurfaces that separate regions where current flows from those where it’s blocked. In some cases, finding a double quantum dot is like finding a needle in a haystack—sometimes in just 0.002% of the search space. CATSAI does this on the order of minutes —far quicker than what would typically be possible manually. I remember when I first tried to tune a double quantum dot at the start of my PhD - it took me two weeks. That became the last time I tried to do it by hand. CATSAI relies on two key strategies: 1. Training a machine learning model to recognize single quantum dot features. 2. Leveraging reliable data on where these single dots are located in voltage space to narrow down the search for double quantum dots. This work wouldn’t have been possible without the support of our co-authors and collaborators at IST Austria and the University of Basel. Special thanks to Natalia Ares, who supervised my PhD research and provided invaluable guidance and support throughout this project. I’m also grateful for the opportunity she gave me to work with such an amazing team and technology. Interested in learning more? You can read the full paper here: https://lnkd.in/e7Vz8We9 The possibilities ahead are vast, and I’m eager to see where AI software for semiconductor quantum devices takes us next!

Conductor Quantum (YC S24) is building quantum computers on silicon chips using AI. They're developing software to create qubits 1000x faster than current methods. Quantum computers will revolutionize drug discovery as they will enable us to accurately simulate nature at its most fundamental level. Leveraging the trillion-dollar semiconductor industry, silicon chips offer a scalable architecture for building quantum computers. Currently, quantum engineers spend weeks manually configuring silicon chips to create a single quantum bit (qubit), analogous to a bit in a classical computer. We need millions, if not billions, of qubits to make a useful quantum computer. Conductor Quantum is developing leading AI models that create qubits by learning and understanding the principles of quantum transport in semiconductor chips. Their AI software will unlock rapid qubit creation and fabrication feedback iteration. Automatic qubit creation and control will be the foundation of the first quantum operating system on semiconductor chips. Founded by Brandon Severin and Joel Pendleton from the University of Oxford, the team met during their Quantum Computing PhDs where they bonded over a shared love of deep tech and software eating the world. Congrats team on the launch! ?? https://lnkd.in/gbwt-CVw