Collaborative Research: CQIS: A Sound Leap (SouL)

这笔拨款将支持将声音作为量子信息科学（QIS）的经典模拟物推进的研究，促进科学进步，并确保美国在QIS方面的领导地位，这是国家优先事项。类似于量子比特或量子位的鲁棒、经典纠缠声波的发展，可以作为实用的类量子技术的核心组件做出有影响力的贡献，而不会受到量子脆弱性的影响。通过利用最近发现的声学、量子力学和凝聚态物理之间的相似性，本研究将为有希望和验证声波存储、处理和检索信息的模式奠定基础，补充传统的量子技术。这项资助将支持教育资源的开发，为未来的QIS学习者弥合经典力学和量子力学之间的教育差距。它将有助于扩大代表性不足的群体的参与，以获得对声学量子类比和相关复杂量子概念的工作理解。量子纠缠是量子信息系统的核心，具有不可分性。虽然不可分性创造了在多部量子系统的相干叠加态上并行操作的可能性，但波函数的量子相干叠加态（概率振幅）在测量或热波动时崩溃。昂贵的解决方案是低温和错误纠正，两者都使用大量的硬件和软件资源。然而，量子计算本质上是相位计算；它利用了实现和旋转相关多部系统状态的相干叠加的可能性，这些系统具有复杂的振幅，在大的指数复希尔伯特空间中以向量表示。声波的“经典纠缠”概念具有不可分离性和复杂性，这对于实现量子计算中的并行性至关重要，但即使在室温下也没有退相干的脆弱性。研究小组将研究由外部驱动、线性和非线性耦合声波导阵列组成的超材料，以支持类似于量子位的声波而闻名，即相位位或phi位。该团队将通过实验、计算和理论研究多重phi位状态的指数复和可扩展希尔伯特空间及其相干叠加的不可分性。他们将分析具有数十亿维度的希尔伯特空间的可扩展性和可控性及其QIS适用性，并在这些希尔伯特空间内演示系统和可预测的概念验证操作，为未来的类量子信息处理声学量子门和算法建立基础。该项目由动力学、控制和系统诊断（DCSD）项目和材料与结构力学（mom）项目共同资助。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This grant will support research that will be a leap forward in advancing sound as a classical analogue of quantum information science (QIS), promoting the progress of science, and ensuring US leadership in QIS, which is a national priority. The development of robust, classically entangled acoustic waves analogous to quantum bits, or qubits, can make impactful contributions as core components of practical quantum-like technologies without suffering from quantum fragility. By exploiting recently discovered analogies between acoustics, quantum mechanics, and condensed matter physics, this research will create the foundations for a path to promising and validating modes of storing, processing, and retrieving information in acoustic waves that complement conventional quantum technologies. This grant will support the development of educational resources that bridge the educational gap between classical mechanics and quantum mechanics for future QIS learners. It will help broaden the participation of underrepresented groups in gaining a working understanding of acoustic quantum analogies and related complex quantum concepts.At the core of QIS, quantum entanglement has the property of non-separability. While non-separability creates the possibility of operating in parallel on the coherent superpositions of states for multipartite quantum systems, the quantum coherent superpositions of wave functions (probability amplitude) collapse upon measurement or thermal fluctuations. Costly solutions are cryogenics and error corrections, both use significant hardware and software resources. However, quantum computing is essentially phase computing; it exploits the possibility of achieving and rotating the coherent superpositions of states of correlated multipartite systems with complex amplitudes that are represented as vectors in large, exponentially complex Hilbert spaces. The notion of “classical entanglement” for sound waves possesses the non-separability and complexity essential to reach the promise of parallelism in quantum computing, yet without the fragility of decoherence even at room temperature. The research team will investigate metamaterials comprising arrays of externally driven, linearly and nonlinearly coupled, acoustic waveguides, known for supporting acoustic waves analogous to qubits, namely phase-bits or phi-bits. The team will experimentally, computationally, and theoretically investigate the exponentially complex and scalable Hilbert spaces of states of multiple phi-bits and the non-separability of their coherent superpositions. They will analyze the scalability and controllability of Hilbert space with billions of dimensions and their QIS applicability, and demonstrate systematic and predictable proof-of-concept operations within these Hilbert spaces to establish foundations for acoustic quantum-like gates and algorithms for future quantum-like information processing.This project is jointly funded by Dynamics, Control and Systems Diagnostics (DCSD) Program and Mechanics of Materials & Structures (MOMS) Program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.