Thursday, September 10, 2026
4:00 pm-5:00 pm
Quantum Utility on Near-Term Quantum Computers
Abstract: Recent advancements in quantum computing have marked a transition from
demonstrating "Quantum Utility" and "Quantum Advantage" where quantum devices deliver
practical value for real-world scientific and industrial applications. However, near-term quantum
computers (NTQCs) operate in a noise-dominant regime, heavily constrained by hardware
limitations, limited circuit expressiveness, and compiling overheads. To overcome these
bottlenecks, this presentation proposes a "Full-stack Co-design" paradigm that synergistically
integrates quantum algorithms, compilers, hardware architecture, and noise-aware circuit design.
To demonstrate the feasibility of this hardware- and noise-aware approach, we investigate the time
evolution of complex Hamiltonian systems, such as the anisotropic Heisenberg model and J1-J2
spin chains, optimizing Trotterization circuit structures to drastically minimize CNOT gate counts
and circuit depth. Furthermore, we employ a suite of quantum error mitigation (QEM) techniques,
including Dynamical Decoupling (DD) to suppress crosstalk and decoherence in idle qubits, and
Pauli Twirling (PT) to transform coherent errors into stochastic noise. For scaling up to more
complex physical systems like the Gross-Neveu model, a lattice gauge theory for strong
interactions, we introduce the Localized Diagonal Operator Approximation (LDOA) method, which
maps multi-qubit diagonal operators into hardware-efficient circuits and enables reliable
simulations of up to 100+ sites on real quantum processors, such as IBM’s heavy-hex architecture.
Additionally, this talk explores the necessity of geometry- and movement-aware compilation
strategies for alternative hardware platforms, such as neutral-atom systems. Ultimately, we
emphasize that the critical need for noise- and hardware-aware algorithm design persists not only
in the noisy NTQC era but also as we transition into early Fault-Tolerant Quantum Computing
(FTQC) with logical qubits, and that this utility-scale, full-stack co-design approach serves as a
crucial blueprint for realizing practical and reliable quantum simulation.
