#StatePreparation
New method achieves quantum state approximation using smaller Lie groups within expanded qubit systems, reducing computational complexity from exponential to polynomial scaling—a potential breakthrough for scalable quantum computing.

#QuantumAlgorithms #StatePreparation #News
Polynomial-Scaling Quantum State Preparation via Open Quantum Systems and Smaller Lie Groups
iq.fp2.dev
November 9, 2026 at 1:24 AM
Breaking the linear complexity barrier in quantum state preparation: new algorithms achieve √N complexity for thermal states and polylog(N) for ground states using engineered system-bath interactions with extensive ancilla qubits.

#QuantumAlgorithms #StatePreparation #Research
Sublinear Thermal and Ground State Preparation for Free Fermions via System-Bath Interactions
iq.fp2.dev
October 27, 2026 at 7:22 AM
New ASPIRE algorithm efficiently prepares quantum states by exploiting entanglement geometry and hardware connectivity, achieving higher fidelity and shallower circuits than existing methods for long-range entanglement systems.

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Geometry-Native Quantum State Preparation with ASPIRE
arxiv.org
October 13, 2026 at 2:38 PM
Nucleation method prepares quantum states efficiently, reducing gate resources by orders of magnitude. Optimized variant outperforms leading MPS-to-circuit methods for 2D lattice Hamiltonians on digital quantum computers.

#QuantumComputing #StatePreparation #Research
Digital Quantum State Preparation by Nucleation
arxiv.org
September 30, 2026 at 6:50 PM
UCLA, Caltech, and NVIDIA Develop Fourier Neural Operator for Quantum Control Sequence Synthesis

Read more:
https://quantumcomputingreport.com/ucla-caltech-and-nvidia-develop-fourier-neural-operator-for-quantum-control-sequence-synthesis/
UCLA, Caltech, and NVIDIA Develop Fourier Neural Operator for Quantum Control Sequence Synthesis - Quantum Computing Report
FNO-based inverse-design pipeline for quantum state preparation. (a)Quantum control for molecular statepreparation. (b)Propagating single-pulse molecular dynamics with the FNO. A multi-institution research collaboration led by UCLA (NarangLab), Caltech, and
quantumcomputingreport.com
September 15, 2026 at 6:19 AM
Neural networks map images directly to quantum circuit parameters, enabling efficient FRQI state preparation. Achieves 0.992 fidelity on Fashion-MNIST with >5000-fold speedup over iterative optimization.

#QuantumML #StatePreparation #Research
Neural Network-Assisted Quantum State Preparation
arxiv.org
June 1, 2026 at 5:12 AM
Improved Grover-Rudolph algorithm reduces CNOT gates by 90% for sparse quantum state preparation through control-stripping merges and approximate angle selection, advancing practical quantum circuit optimization.

#QuantumAlgorithms #StatePreparation #Research
Optimized Sparse Quantum State Preparation via Grover-Rudolph Algorithm
iq.fp2.dev
April 29, 2026 at 8:49 AM
Researchers demonstrate rapid mixing of high-temperature Gibbs states with external fields in O(log(n/ε)) time, revealing classical hardness conditions and opening new pathways for quantum advantage through efficient state preparation.

#QuantumAdvantage #StatePreparation #QuantumComputing
External Fields Induce Entanglement in High-Temperature Quantum Systems
iq.fp2.dev
April 15, 2026 at 10:42 AM