Title: Scalable Quantum Information Processing with Photonic and CMOS-Integrated Artificial Atoms
Abstract: A central challenge in quantum information science (QIS) is to construct a scalable architecture that efficiently supports quantum computing, simulation, networking, and sensing in a unified framework. The scalability of such an architecture should not only accommodate qubit characteristics and device fabrication but also ensure noise resilience for protocols, error correction compatibility, and gate synthesis within algorithms. Solid-state artificial atoms—such as diamond color centers—have emerged as a promising solid-state qubit platform, demonstrating deterministic remote entanglement, minute-long coherence times with more than ten auxiliary qubits, and large-scale integration into photonic integrated circuits. In this talk, I will present our advancements in crafting scalable QIS architectures based on color centers in diamond coupled with photonic integrated circuits and CMOS platforms [1, 2, 3, 4]. These electronic spin qubits interact with spin-photon interfaces [5], enabling reconfigurable photonic entanglement links for modular computing and entanglement-assisted sensing. We address the noise and losses in spin-photon interaction through photonic cavity designs [6, 7] and percolation approach [1, 4]. The architecture supports measurement-based quantum error correction, suppressing logical errors to the levels suitable for large-scale computation. We estimate the quantum resources required for a 2000-bit Shor’s algorithm, noting substantial reductions achievable within this architecture [1]. Finally, we present a new magic-state preparation technique [8] that enables quantum chemical simulations with three orders of magnitude reduction in subroutines and an order of magnitude reduction in total simulation cost [9]. Together, these results establish a concrete pathway toward scalable quantum information processing with photonic and CMOS-integrated artificial atoms.
[1] H. Choi et al., Nature npj Quantum Information 5, 104 (2019).
[2] L. Li et al., Nature, 630, 70 (2024).[3] N Wan et al., Nature 583, 226 (2020).[4] M Dong et al., Nature npj Quantum Information 9, 42 (2024).
[5] HKC. Beukers et al., Physical Review X Quantum (2024).
[6] H. Choi et al., Physical Review Letters 118, 223605 (2017).
[7] H. Choi et al., Physical Review Letters 122, 183602 (2019).
[8] H. Choi et al., arXiv:2303.17380 (2023).[9] B. Rawal et al., in review (2025).
Biography: Hyeongrak Choi (Chuck) is an Assistant Professor in the Department of Electrical and Computer Engineering at Stony Brook University. Before joining Stony Brook, he was a Postdoctoral Associate in the Quantum Photonics Group at the Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, led by Prof. Dirk Englund. He earned his Ph.D. and M.S. degrees in Electrical Engineering and Computer Science from MIT in 2021 and 2017, respectively, under the supervision of Prof. Englund. He was awarded the Claude E. Shannon Research Fellowship in 2019 for his contributions to the information-theoretic analysis of integrated quantum computing devices. He was also supported by non-committing Samsung Scholarship from 2014 to 2019. His research interests include quantum computing, quantum networks, and quantum photonics.