Synthesizing Compound Pulse Gadgets for Hamiltonian Simulation on Trapped-Ion Platforms

📅 2026-07-01
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🤖 AI Summary
This work addresses the significant noise and overhead introduced by fragmented control pulses in standard gate-level compilation on near-term trapped-ion hardware, which hinders the execution of high-precision quantum algorithms. To overcome this limitation, the authors propose a holistic pulse synthesis approach that bypasses discrete gate decomposition and directly compiles quantum algorithms into continuous, composite pulse sequences. The method leverages gradient ascent pulse engineering (GRAPE) to generate optimized pulses and validates performance through simulations based on the Lindblad master equation with realistic noise models. Applied to the simulation of the H₂ molecular Hamiltonian, the approach substantially reduces total pulse duration and eliminates lookup latency compared to conventional compilers, thereby enhancing achievable circuit depth under T₂ decoherence constraints.
📝 Abstract
Standard gate-level transpilation introduces significant physical noise and overhead for high-precision quantum algorithms, such as the Quantum Singular Value Transformation (QSVT), on near-term trapped-ion hardware. Current compilers treat quantum operations as discrete units, forcing the physical control layer to execute highly fragmented laser pulses. To address this hardware-software disconnect, this work introduces a holistic pulse synthesis strategy that bypasses discrete gate-stitching to compile algorithms directly into continuous compound pulse gadgets. As a proof-of-concept, we target Hamiltonian simulation of the $H_2$ molecule, block-encoding the problem into a QSVT circuit to approximate the time-evolution operator $U = e^{-i H t}$ across 3 computational ions (2 system, 1 ancilla). We utilize the Gradient Ascent Pulse Engineering (GRAPE) algorithm to generate these compound gadgets and evaluate our methodology using noisy Lindblad master equation simulations. Preliminary observations indicate that the proposed strategy achieves significant temporal compression, reducing the total pulse schedule duration compared to standard compilers. Furthermore, synthesizing operations holistically eliminates the control-layer latency associated with discrete pulse lookup overhead. By streamlining the physical control schedule, this methodology offers a promising pathway to execute operations faster, highlighting the potential for compound gadgets to increase the computational depth achievable within fundamental $T_2$ decoherence limits.
Problem

Research questions and friction points this paper is trying to address.

Hamiltonian simulation
trapped-ion platforms
quantum compilation
pulse-level control
QSVT
Innovation

Methods, ideas, or system contributions that make the work stand out.

compound pulse gadgets
pulse-level compilation
Hamiltonian simulation
GRAPE
trapped-ion quantum computing
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