MicroCloud Hologram Inc. Improves Grover Algorithm to Achieve Dynamic Multi-Mode Search, Breakthrough in Quantum Circuit Simplification and FPGA Reconstruction
MicroCloud Hologram (NASDAQ: HOLO) on October 23, 2025 announced an improved Grover quantum search algorithm and an FPGA-based implementation for dynamic multi-mode search. The company reports efficient simulation of up to 22 qubits on a single FPGA and a performance prediction model projecting scalability to 32 qubits. Key innovations described include dynamic phase modulation via a Configurable Lookup Table (CLUT), a Reconfigurable Logic Element (RLE) for hierarchical diffusion control, and an oracle-diffusion joint execution module enabling single-cycle execution and pipelineable search. HOLO says these advances reduce gate depth, wiring complexity, and FPGA latency, and that the approach supports multi-mode search applications in cryptanalysis, pattern recognition, and database retrieval.
MicroCloud Hologram (NASDAQ: HOLO) il 23 ottobre 2025 ha annunciato un algoritmo di ricerca quantistica Grover migliorato e una realizzazione basata su FPGA per ricerca multi-modale dinamica. L'azienda riferisce una simulazione efficiente fino a 22 qubit su un singolo FPGA e un modello di previsione delle prestazioni che proietta una scalabilità fino a 32 qubit. Le innovazioni chiave descritte includono modulazione dinamica di fase tramite una Configurable Lookup Table (CLUT), un Reconfigurable Logic Element (RLE) per controllo gerarchico della diffusione e un modulo di esecuzione congiunta oracle-diffusion che permette l'esecuzione in singolo ciclo e la ricerca pipelineabile. HOLO afferma che questi avanzamenti riducono la profondità dei gate, la complessità dei collegamenti e la latenza FPGA, e che l'approccio supporta applicazioni di ricerca multi-modale in crittanalisi, riconoscimento di modelli e recupero di database.
MicroCloud Hologram (NASDAQ: HOLO) anunció el 23 de octubre de 2025 un algoritmo de búsqueda cuántica Grover mejorado y una implementación basada en FPGA para búsqueda multi-modo dinámica. La compañía reporta una simulación eficiente de hasta 22 qubits en un solo FPGA y un modelo de predicción de rendimiento que proyecta escalabilidad a 32 qubits. Las innovaciones clave descritas incluyen modulación de fase dinámica a través de una Tabla de Búsqueda Configurable (CLUT), un Elemento Lógico Reconfigurable (RLE) para control jerárquico de difusión y un módulo conjunto de ejecución oracle-diffusion que permite la ejecución en un solo ciclo y búsquedas pipelineables. HOLO dice que estos avances reducen la profundidad de puertas, la complejidad de cableado y la latencia de FPGA, y que el enfoque soporta aplicaciones de búsqueda multi-modo en criptoanálisis, reconocimiento de patrones y recuperación de bases de datos.
마이크로클라우드 홀로그램(MicroCloud Hologram, NASDAQ: HOLO)은 2025년 10월 23일 다이나믹 멀티모드 검색을 위한 개선된 Grover 양자 검색 알고리즘과 FPGA 기반 구현을 발표했습니다. 회사는 단일 FPGA에서 최대 22퀀비트의 효율적인 시뮬레이션과 32퀀비트까지의 확장 가능성을 예측하는 성능 예측 모델을 보고합니다. 설명된 주요 혁신으로는 CLUT를 통한 동적 위상 조절, 계층적 확산 제어를 위한 재구성 가능한 로직 요소(RLE), 단일 사이클 실행과 파이프라인 가능한 검색을 가능하게 하는 오라클-확산 동시 실행 모듈이 포함됩니다. HOLO는 이러한 진전이 게이트 깊이, 배선 복잡성, FPGA 지연 시간을 감소시키고 암호 분석, 패턴 인식, 데이터베이스 검색 등 다중 모드 검색 어플리케이션을 지원한다고 말합니다.
MicroCloud Hologram (NASDAQ: HOLO) a annoncé le 23 octobre 2025 un algorithme de recherche quantique Grover amélioré et une implémentation basée sur FPGA pour une recherche multi-modale dynamique. L'entreprise rapporte une simulation efficace jusqu'à 22 qubits sur un seul FPGA et un modèle de prévision de performance projetant une évolutivité jusqu'à 32 qubits. Les innovations clés décrites incluent une modulation dynamique de phase via une Table de Recherche Configurable (CLUT), un Élément Logique Réconfigurable (RLE) pour le contrôle hiérarchique de la diffusion et un module d'exécution conjointe oracle-diffusion permettant une exécution en un seul cycle et une recherche pipelineable. HOLO indique que ces avancées réduisent la profondeur des portes, la complexité du câblage et la latence FPGA, et que l'approche prend en charge des applications de recherche multi-modale en cryptanalyse, reconnaissance de motifs et récupération de bases de données.
MicroCloud Hologram (NASDAQ: HOLO) kündigte am 23. Oktober 2025 einen verbesserten Grover-Quantensuchalgorithmus und eine FPGA-basierte Implementierung für dynamische Mehrmodussuche an. Das Unternehmen meldet eine effiziente Simulation von bis zu 22 Qubits auf einem einzelnen FPGA und ein Leistungsprognosemodell, das Skalierbarkeit bis zu 32 Qubits prognostiziert. Zentrale Innovationen umfassen dynamische Phasenmodulation über eine konfigurierbare Lookup-Tabelle (CLUT), ein rekonfigurierbares Logikbauelement (RLE) für hierarchische Diffusionssteuerung und ein Oracle-Diffusion-Gemeinschaftsausführungsmodul, das eine Ausführung in einem Zyklus und eine pipelinefähige Suche ermöglicht. HOLO sagt, dass diese Fortschritte Gate-Tiefe, Verdrahtungskomplexität und FPGA-Latenz reduzieren und dass der Ansatz Mehrmodussuchen-Anwendungen in der Kryptanalyse, Mustererkennung und Datenbanksuche unterstützt.
MicroCloud Hologram (NASDAQ: HOLO) في 23 أكتوبر 2025 أعلن عن خوارزمية بحث كمية Grover محسّنة وتنفيذ قائم على FPGA لـ البحث الديناميكي متعدد الأنماط. تشير الشركة إلى محاكاة فعّالة حتى 22 كيوبت على FPGA واحد ونموذج تنبؤ بالأداء يتوقع قابلية التوسع حتى 32 كيوبت. الابتكارات الرئيسية الموصوفة تشمل تعديل الطور الديناميكي عبر جدول بحث قابل للتكوين (CLUT)، وعنصر منطق قابل لإعادة التكوين (RLE) للتحكم التناسقي في الانتشار، ووحدة تنفيذ مشتركة oracle-diffusion (oracle-diffusion joint execution module) تتيح التنفيذ في دورة واحدة وبحث قابل للخط أنابيب. HOLO تقول إن هذه التطورات تقلل من عمق البوابة وتعقيد الأسلاك وتأخر FPGA، وأن النهج يدعم تطبيقات البحث متعدد الأنماط في التحليل التشفيري، والتعرف على الأنماط، واسترجاع قواعد البيانات.
MicroCloud Hologram (NASDAQ: HOLO) 于2025年10月23日宣布改进的 Grover 量子搜索算法以及基于 FPGA 的实现，用于动态多模态搜索。公司表示在单个 FPGA 上高效仿真可达22 量子比特，并且有一个性能预测模型，预测可扩展至32 量子比特。描述的关键创新包括通过可配置查找表(CLUT)实现的动态相位调制、用于层级扩散控制的可重构逻辑单元(RLE)，以及一个oracle-diffusion 联合执行模块，实现单周期执行和流水线化搜索。HOLO 表示这些进步将降低门深度、布线复杂性和 FPGA 延迟，并且该方法支持在密码分析、模式识别和数据库检索中的多模态搜索应用。
- Simulated 22-qubit circuits on a single FPGA
- Performance model projects scalability to 32 qubits
- Introduced dynamic phase modulation (CLUT) for runtime target switching
- Implemented single-cycle oracle-diffusion joint execution to boost throughput
- 32-qubit support is based on a performance prediction model, not hardware demonstration
- Verification limited to FPGA simulation; not demonstrated on physical quantum hardware
Insights
HOLO claims a dynamic multi-mode Grover algorithm implemented on FPGA with 22-qubit simulation and a model projecting 32-qubit scalability.
MicroCloud Hologram Inc. describes an architectural change that decouples target matching and amplitude amplification via a Configurable Lookup Table (CLUT) and Reconfigurable Logic Elements (RLE). They report mapping a 22-qubit state-vector simulator on a single FPGA by using a quantum state register array, micro-instruction gate control, and an oracle-diffusion joint execution module to enable runtime mode switching and single-cycle joint execution.
The technical claims rest on two verifiable items stated here: a demonstrated 22-qubit FPGA simulation and a performance prediction model projecting support for 32 qubits. The company also cites circuit-simplification strategies (dynamic phase modulation, hierarchical qubit control, and entanglement/wiring optimization) and notes planned investment of
Watch for concrete, time-stamped deliverables: a published hardware benchmark or open-source performance data validating the 22-qubit run, documentation of the prediction model and its assumptions supporting 32-qubit scalability, and any subsequent filings or demonstrations disclosed after
The dynamic multi-mode Grover search algorithm proposed by HOLO breaks through the limitations of single-target search in its design concept. Through the reconstruction of the quantum circuit structure and the introduction of reconfigurable logic, the search operator and oracle construction can be dynamically adjusted during runtime to support multi-mode matching. This design allows quantum search to no longer be limited to a single target state but to flexibly switch between multiple target modes, achieving dynamic mode parallel amplification.
The core of this improvement does not lie in simply increasing the number of searches but in introducing dynamically variable phase control logic at the orchestration level of the quantum circuit. HOLO, through modular design, enables the quantum oracle (target recognition module) and diffusion operator (amplitude amplification module) to be implemented on FPGA logic units in a dynamically loaded manner, thereby supporting multi-mode operations at the hardware execution level. This innovative structure allows the quantum search process to run simultaneously in multiple mode spaces, significantly enhancing the algorithm's application flexibility and search efficiency.
In the traditional Grover algorithm, the entire circuit includes four stages: initialization, oracle operation, diffusion operation, and measurement, each of which requires building a complete computational path at the quantum gate level. When facing multi-target or dynamic target modes, the traditional circuit needs to regenerate the oracle circuit for each target, leading to resource waste and execution delays. HOLO's solution, through strategies of circuit simplification and module reuse, has redesigned the circuit system architecture.
First, in the oracle design, HOLO introduced the concept of "dynamic phase modulation", abstracting the target matching logic into a configurable lookup table (Configurable Lookup Table, CLUT), enabling the oracle to perform mode switching based on input control signals without recompiling the circuit. In this way, the hardware circuit can dynamically modify the search target during the runtime process, achieving true multi-mode search.
Second, in the diffusion operator design, HOLO adopted a hierarchical control method for qubits, implementing a unified amplitude inversion module through reconfigurable logic elements (Reconfigurable Logic Element, RLE). This module dynamically selects the quantum states participating in the inversion via control signals, thereby ensuring that searches under multi-mode conditions can all be completed in the same circuit path. This method greatly reduces the redundant parts of the circuit, making the overall gate depth and wiring complexity significantly decrease.
Finally, HOLO adopted a hardware-level entanglement optimization strategy, enabling the circuit to automatically balance entanglement operations and wiring overhead during the mapping process in FPGA logic blocks. Through dynamic rearrangement of the coupling relationships between qubits, HOLO effectively reduces circuit latency and hardware power consumption, achieving efficient mapping of 22 qubits on resource-limited FPGAs.
At the hardware level, HOLO selected high-performance Field Programmable Gate Arrays (FPGA). The reconfigurable characteristics of FPGA make it naturally suitable for the simulation and verification of quantum algorithms. The reconfigurable architecture mainly includes the following three core modules: quantum state register array, quantum gate control logic, and oracle-diffusion joint execution module.
The quantum state register array achieves parallel storage and update of quantum states through a multi-level register chain structure, supporting state vector storage of up to 22 qubits. Through the pipeline scheduling mechanism, high-concurrency execution of multi-level quantum gate operations can be achieved.
The quantum gate control logic part undertakes the timing scheduling task of circuit execution, adopting a micro-instruction style control method, making each quantum gate operation dynamically rearrangable. This mechanism provides the foundation for subsequent multi-mode dynamic adjustments, allowing the controller to load different oracle or diffusion modules in different time slices, thereby achieving quantum mode switching at the hardware level.
The oracle-diffusion joint execution module is one of the core innovations of HOLO this architecture.. Traditional Grover algorithms require alternating execution of oracle and diffusion operations, while HOLO, through the combination of reconfigurable logic, merges the two at the hardware execution level, achieving single-cycle joint execution. This approach not only reduces hardware overhead but also makes the entire search process possess pipelinable characteristics, thereby significantly improving throughput and simulation speed.
Through monitoring and optimization of FPGA resource utilization, HOLO achieved stable operation supporting 22-qubit circuits on a single FPGA chip. This result exceeds previous FPGA quantum simulation records. Furthermore, based on the performance prediction model, it simulates and calculates the resources and time overhead required to support 32 qubits under the same architecture.
This research not only achieves functional extension of the Grover search algorithm at the algorithmic level but also demonstrates the potential of combining quantum algorithms with reconfigurable hardware at the hardware level. By introducing dynamic configurable logic into the quantum algorithm execution framework, HOLO proves the feasibility of still achieving complex quantum search tasks in resource-constrained environments. This holds important significance for future quantum hardware verification, algorithm prototype development, and quantum computing platforms.
From an industrial perspective, the proposal of the dynamic multi-mode Grover search algorithm provides a new acceleration path for high-performance search-type tasks. It can be widely applied in multiple fields such as cryptanalysis, pattern recognition, quantum database retrieval, and optimization problem solving. The dynamic multi-mode Grover algorithm can quickly switch search targets on the same hardware platform, significantly shortening task processing time. In today's era where quantum computing is gradually moving toward practicalization, this technology represents an important milestone in the transition from theoretical algorithms to actual systems. It is believed that, with further deepening of the research, the dynamic multi-mode Grover search technology will unleash its potential in more fields, becoming a key force in driving quantum computing toward practical use.
About MicroCloud Hologram Inc.
MicroCloud is committed to providing leading holographic technology services to its customers worldwide. MicroCloud's holographic technology services include high-precision holographic light detection and ranging ("LiDAR") solutions, based on holographic technology, exclusive holographic LiDAR point cloud algorithms architecture design, breakthrough technical holographic imaging solutions, holographic LiDAR sensor chip design and holographic vehicle intelligent vision technology to service customers that provide reliable holographic advanced driver assistance systems ("ADAS"). MicroCloud also provides holographic digital twin technology services for customers and has built a proprietary holographic digital twin technology resource library. MicroCloud's holographic digital twin technology resource library captures shapes and objects in 3D holographic form by utilizing a combination of MicroCloud's holographic digital twin software, digital content, spatial data-driven data science, holographic digital cloud algorithm, and holographic 3D capture technology. MicroCloud focuses on the development of quantum computing and quantum holography, and plans to invest over
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FAQ
What did MicroCloud Hologram (HOLO) announce on October 23, 2025?
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