WiMi Develops Holographic Quantum Algorithm Technology for Efficient Simulation of Related Spin Systems

Rhea-AI Summary

WiMi Hologram Cloud (NASDAQ: WIMI) has announced the development of a holographic quantum algorithm for simulating correlated spin systems. The technology enables efficient ground state preparation and dynamic evolution while reducing quantum bit resources significantly.

The algorithm features three key innovations: a Quantum Bit Reuse Strategy that requires only (D-1) quantum bits for D-dimensional systems, a Holographic Variational Quantum Eigensolver (holoVQE) for ground state preparation, and an Efficient Time Evolution Implementation for studying thermalization dynamics.

The technology has been successfully tested on ion-trap quantum computers, simulating antiferromagnetic Heisenberg chains using just two pairs of quantum bits. The algorithm leverages matrix product states (MPS) and quantum channels, making the required quantum bits proportional to the logarithm of entanglement entropy.

Positive

• Successfully demonstrated practical implementation on ion-trap quantum computers
• Achieved significant reduction in quantum bit requirements for complex system simulation
• Developed scalable solution for quantum computing resource optimization

Negative

• None.

BEIJING, Feb. 19, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of an innovative "holographic" quantum algorithm for simulating highly correlated spin systems. This technology enables efficient ground state preparation and dynamic evolution, while significantly reducing the demand for quantum bit resources.

The ground state and dynamic evolution of spin systems are core areas of research in quantum physics and material science. However, simulating highly entangled quantum states often requires a large number of quantum bit resources. In particular, for two-dimensional and three-dimensional systems, traditional quantum simulation methods demand an exponentially growing number of quantum bits, posing a significant challenge to existing quantum computing hardware. How to effectively simulate these complex systems under the constraint of a limited number of quantum bits has become a pressing problem in the field of quantum computing.

The holographic quantum algorithm developed by WiMi is based on the equivalence between matrix product states (MPS) and quantum channels. Through partial measurements and quantum bit reuse techniques, it significantly reduces the number of quantum bits required. This algorithm incorporates the following key innovations:

Quantum Bit Reuse Strategy: By utilizing the compact representation of matrix product states (MPS), the D-dimensional spin system is mapped to a quantum computing architecture that only requires a subset of (D-1) quantum bits and an auxiliary quantum bit register. This approach ensures that the number of quantum bits required grows logarithmically with the increase in the entanglement of the simulated state, rather than growing non-linearly or exponentially.

Holographic Variational Quantum Eigensolver (holoVQE): The holographic variational method directly prepares the system's ground state from the known MPS representation or uses holoVQE to optimize the ground state energy. This method combines the advantages of quantum computing and classical optimization, enabling precise determination of the ground state energy for infinite-chain systems.

Efficient Time Evolution Implementation: By introducing additional overhead in the quantum channel, the algorithm can simulate the MPS dynamics under the action of a local Hamiltonian within time t. This mechanism provides a powerful tool for studying thermalization dynamics with rapid entanglement growth.

Resource Efficiency and Hardware Implementation: When implemented on actual hardware, the holographic quantum algorithm requires only a minimal number of quantum bits to simulate complex systems with exponentially large bond dimensions. Specifically, on ion-trap quantum computers, WiMi successfully simulated the antiferromagnetic Heisenberg chain and achieved precise calculation of the infinite-chain ground state energy using only two pairs of quantum bits.

WiMi's technology leverages the equivalence between matrix product states (MPS) and quantum channels. MPS is a classical method for compactly representing highly entangled quantum states by decomposing a global quantum state into a series of low-rank tensor products. The holographic quantum algorithm utilizes this feature by decomposing the simulation target into a series of local operations, making the required number of quantum bits proportional to the logarithm of the entanglement entropy.

Among these, partial measurements and quantum bit reuse involve performing partial measurements on subsystems and reusing the measured quantum bits. This approach significantly conserves quantum resources while maintaining the system's entanglement structure. The specific operations include: applying local Hamiltonian operations to the target spin system; measuring a subset of quantum bits and recording the measurement results; updating the quantum state of the remaining system based on the measurement results and recycling the released quantum bits.

The core of the Holographic Variational Quantum Eigensolver (holoVQE) algorithm is to transform the ground state energy problem into a variational optimization problem. The specific steps include: initializing the quantum state as a random matrix product state; applying a parameterized quantum circuit and using a classical optimizer to update the parameters; and iteratively minimizing the expected energy value to eventually approach the ground state energy.

By decomposing the evolution operations in the quantum channel, the time evolution operation is implemented as a superposition of a series of local Hamiltonian actions. The algorithm further utilizes time-step iteration and Trotter decomposition to improve computational efficiency and accuracy.

The development and validation of WiMi's holographic quantum algorithm open new possibilities for quantum computing technology. It not only significantly reduces the resources required to simulate complex quantum systems, but also provides an effective tool for exploring highly entangled quantum states and rapid entanglement growth phenomena. With this technology, researchers can efficiently study problems such as the ground states of two-dimensional and three-dimensional spin systems, as well as complex dynamic evolution, even under limited hardware conditions.

In the future, the optimization potential of this technology remains immense. The research team plans to expand the scope of the holographic quantum algorithm and develop more advanced variational quantum eigensolver methods to further enhance precision and efficiency. Additionally, this technology can explore more application possibilities in practical scenarios by integrating with new types of quantum hardware.

With the rapid development of quantum computing, WiMi's holographic quantum algorithm will undoubtedly become an important milestone in advancing quantum science and technology. It not only demonstrates an innovative path for quantum algorithm design but also lays a solid foundation for the widespread adoption and application of quantum computing.

About WiMi Hologram Cloud

WiMi Hologram Cloud, Inc. (NASDAQ:WiMi) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.

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SOURCE WiMi Hologram Cloud Inc.

FAQ

What is the main breakthrough in WIMI's new holographic quantum algorithm?

WIMI's breakthrough is developing a quantum algorithm that significantly reduces quantum bit requirements for simulating spin systems through quantum bit reuse strategy and matrix product states, enabling efficient ground state preparation and dynamic evolution.

How does WIMI's holographic quantum algorithm reduce resource requirements?

The algorithm uses quantum bit reuse strategy and partial measurements, requiring only (D-1) quantum bits for D-dimensional systems, with logarithmic growth in quantum bit requirements rather than exponential.

What practical results has WIMI achieved with their quantum algorithm?

WIMI has successfully simulated antiferromagnetic Heisenberg chains on ion-trap quantum computers using only two pairs of quantum bits, demonstrating practical implementation of their technology.

What are the key components of WIMI's holographic quantum algorithm?

The algorithm consists of three key components: Quantum Bit Reuse Strategy, Holographic Variational Quantum Eigensolver (holoVQE), and Efficient Time Evolution Implementation.