Just attended the #Caltech2024 commencement for my PhD🎓 The Clauser prize recipient was kept secret until the very last moment. I was stunned when the president announced my name. Heartfelt thanks to my advisor John Preskill, friends, and family for their unwavering support!

New 📜🧠 "Approximate unitary k-designs from shallow, low-communication circuits" arxiv.org/abs/2407.07876 with Nicholas LaRacuente!

Excited to share that this week, I’m wrapping up my time Caltech and joining Phasecraft to research quantum optimization! I will be in the UK for the summer before starting as an Assistant Professor UCLA Electrical and Computer Engineering this fall! Looking forward to new challenges and collaborations 🚀

“Perhaps kids who grow up playing quantum games will acquire a visceral understanding of quantum phenomena that our generation lacks.” quantumfrontiers.com/2024/08/05/bui…

❓ Is there exponential quantum advantage in classical optimization? 🤞 Maybe yes! This paper introduces a new framework for quantum algorithms in classical optimization. We call it *decoded quantum interferometry*, or DQI for short. scirate.com/arxiv/2408.082…

Houston, we are below the quantum error correction threshold! 🚀 In “Quantum error correction below the surface code threshold” (arxiv.org/abs/2408.13687), we implement a 101-qubit surface code. Each time we increase the distance by two, the logical error rate is cut in half!

I’m extremely happy to share our latest work on classical simulation of expectation values for a wide family of noiseless quantum circuits. Thread below 🧵👇

Last week, Angrisani et al. showed that a classical simulation technique can efficiently estimate expectation values of many parametrized quantum circuits, on average across parameters. This week, we have a demo: pennylane.ai/qml/demos/tuto…