»ã±¨±êÌâ (Title)£ºEnhancing Quantum System Simulation with Clifford-Based Hybrid Quantum Algorithm£¨ÀûÓûùÓÚClifford´úÊýµÄ»ìºÏÁ¿×ÓËã·¨¼ÓÇ¿Á¿×Óϵͳ·ÂÕÕ£©

»ã±¨ÈË (Speaker)£ºËï¼Î²ß£¨ÃÀ¹ú¼ÓÖÝÀí¹¤Ñ§Ôº£©

»ã±¨¹¦·ò (Time)£º2024Äê4ÔÂ17ÈÕ(ÖÜÈý) 9:00

»ã±¨µØÖ· (Place)£ºÔÚÏ߻㱨£¬ÌÚѶ»áÒéÊÒ£º958-114-931

https://meeting.tencent.com/dm/WkbWTbDWpWNk 

Ô¼ÇëÈË (Inviter)£ºÀîÓÀÀÖ ¸±½ÌÊÚ

Ö÷°ì²¿ÃÅ£ºÀíѧԺÎïÀíϵ

ÌáÒª(Abstract)£º

Although simulating quantum systems is recognized as one of the most practical applications of quantum computing, attaining high accuracy with shallow quantum circuits remains a formidable challenge, particularly in the noisy intermediate-scale quantum (NISQ) era. In recent years, hybrid quantum variational algorithms leveraging the strengths of both classical and quantum computing have emerged as a promising solution to enhance accuracy while maintaining lower circuit depths. We present a suite of Clifford-based hybrid quantum variational algorithms designed for various quantum systems. (1) For weakly entangled chemical systems, we introduced a protocol to identify near-optimal Clifford Hamiltonian transformations for ground-state problems. This protocol, efficiently executable on classical computers, is compatible with any hardware-efficient ansatz. Our demonstrations on a quantum hardware emulator show its efficacy, achieving chemical accuracy in systems up to 12 qubits using fewer than 30 two-qubit gates. (2) For strongly entangled physical systems, we have developed a linear-scaled algorithm that determines the exact stabilizer ground state for special types of Hamiltonians. These exact stabilizer ground states can not only be used as effective initial states for variational quantum eigenvalue optimization processes but also serve as cornerstones of more advanced quantum ground state ansatz.