BEIJING, Jan. 16,
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 a binary string polynomial encoding for Quantum
Random Access Memory (QRAM). Random Access Memory (RAM) is a
crucial component in classical computing, enabling computers to
quickly and randomly access stored data. In the context of quantum
computing, QRAM is a type of memory that allows quantum computers
to efficiently and parallelly access stored data without disrupting
quantum states. QRAM is not only a core architecture for quantum
data storage, but also a fundamental component for many quantum
algorithms, such as the Grover search algorithm and Shor's
algorithm.
However, the process of quantum data access is far more complex
than in classical computing. The nature of quantum states requires
that data access preserves the superposition of the states while
avoiding the introduction of measurement interference. As a result,
designing an efficient QRAM architecture is highly challenging.
Most existing QRAM designs are very costly in terms of
computational resources (such as qubits, T gates, depth, etc.),
making it difficult to implement large-scale applications on
practical quantum computers.
WiMi has designed an entirely new QRAM architecture by
introducing binary string polynomial encoding. In this design,
Clifford+T circuits are utilized, and by optimizing the use of T
gates, the efficiency of quantum circuits is significantly
improved. Compared to the state-of-the-art QRAM bucket brigade
architecture, this design has made significant breakthroughs in
multiple key metrics.
T-depth is one of the key metrics of quantum computing
performance. The smaller the depth, the shorter the time required
for the computational process, which in turn helps improve the
overall efficiency of quantum algorithms. In this new QRAM design,
we have achieved an exponential improvement in T-depth through
polynomial encoding of binary strings. Specifically, in previous
state-of-the-art bucket brigade QRAM architectures, the T-depth
typically grows linearly with the number of memory locations,
whereas WiMi has reduced the T-depth exponentially through
polynomial encoding.
T-count is also a crucial optimization goal. T gates are
expensive operations in quantum computing; their implementation not
only consumes time but also depletes significant resources,
especially in fault-tolerant quantum computing. To keep the T-count
low, WiMi has adopted an innovative gate circuit optimization
strategy in its design, ensuring that the T-count does not
significantly increase while reducing the T-depth. Compared to
previous state-of-the-art designs, this architecture maintains an
asymptotically similar T-count. This means that, while the
computational depth has been significantly reduced, the number of T
gates required by the circuit has not increased drastically,
ensuring efficient resource utilization.
Quantum bits (qubits) are the fundamental units of quantum
computing and the core resource of a quantum computer. When
designing a new QRAM architecture, optimizing other performance
metrics while keeping the number of qubits constant has always been
a significant challenge. WiMi has achieved a substantial
improvement in qubit utilization efficiency through deep
optimization of circuit design. In existing state-of-the-art
designs, the number of qubits typically increases proportionally
with the number of memory locations. However, in WiMi's design, the
same number of qubits is maintained while optimizing other
computational resources (such as T-depth and T-count), resulting in
a significant overall performance improvement.
WiMi's binary string polynomial encoding for Quantum Random
Access Memory (QRAM) also introduces the concept of a quantum
Look-Up Table (qLUT). A qLUT, or Quantum Read-Only Memory (QROM),
differs from traditional QRAM in that it has specific functional
limitations. Specifically, QROM is a read-only structure, and the
content it stores is fixed when the quantum state is initialized.
Every time the memory content changes, the entire quantum circuit
must be recompiled.
While the functionality of qLUT is limited, it shows extremely
high efficiency in certain specific application scenarios. For
example, when an algorithm requires frequent lookups of fixed,
preset data, a qLUT can provide rapid data access at a lower
computational cost. WiMi's qLUT, combined with QRAM, further
optimizes T-depth and T-count while maintaining a low qubit count,
making it an extremely efficient data query tool in complex quantum
algorithms.
WiMi's binary string polynomial encoding for Quantum Random
Access Memory (QRAM) technology marks a significant leap in the
performance of quantum computers. This technology not only brings
deep theoretical optimizations but also provides strong practical
support for various application scenarios, leading to a
revolutionary improvement in the storage and access performance of
quantum computers. Through significant optimizations in T-depth,
T-count, and qubit count, this technology breaks through the
limitations of traditional QRAM architectures, making the efficient
implementation of quantum computing more feasible.
In the future, this technology is expected to demonstrate
immense application potential across various fields. Particularly
in quantum algorithms that require fast, large-scale data access,
such as chemical molecular simulations, financial market
predictions, cryptography decryption, and artificial intelligence,
the optimized QRAM technology will bring new possibilities for
quantum computing. Especially when combined with the quantum
internet currently under development, the future quantum computing
ecosystem will be more efficient, stable, and scalable. As quantum
computing technology continues to advance, this QRAM design will
further drive the large-scale application of quantum computers in
real-world scenarios.
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.
Safe Harbor Statements
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other things, the business outlook and quotations from management
in this press release and the Company's strategic and operational
plans contain forward−looking statements. The Company may also make
written or oral forward−looking statements in its periodic reports
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and 6−K, in its annual report to shareholders, in press releases,
and other written materials, and in oral statements made by its
officers, directors or employees to third parties. Forward-looking
statements involve inherent risks and uncertainties. Several
factors could cause actual results to differ materially from those
contained in any forward−looking statement, including but not
limited to the following: the Company's goals and strategies; the
Company's future business development, financial condition, and
results of operations; the expected growth of the AR holographic
industry; and the Company's expectations regarding demand for and
market acceptance of its products and services.
Further information regarding these and other risks is included
in the Company's annual report on Form 20-F and the current report
on Form 6-K and other documents filed with the SEC. All information
provided in this press release is as of the date of this press
release. The Company does not undertake any obligation to update
any forward-looking statement except as required under applicable
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SOURCE WiMi Hologram Cloud Inc.