MQM Wave-based ALU (CPU/GPU/NPU) and Data Transfer Systems for Optics and HBM(Prior Art, 2026.03.04)

GitHub: https: //github. com/scwpark/MQM-Wave-based-ALU-and-Data-Transfer Abstract MQM (Multi-Quantum Mode) introduces a wave-based ALU architecture — a Post-Von Neumann, next-generation ALU design for CPU, GPU, and NPU systems. (wave based computing) (AESA radar controls F + A + P simultaneously. But never as (F + A) × 2P. MQM is the first to see it that way. Same physics. New formula. New paradigm. ) This technical note introduces the Multi-Quantum Mode (MQM) wave base alu (GPU/NPU/CPU), a novel data transmission algorithm designed to maximize throughput by simultaneously encoding binary data across three physical dimensions: Frequency (n bits), Amplitude (m bits), and Phase (p bits). By utilizing a 3D-mapping approach, the MQM WAVE based computing algorithm achieves a theoretical throughput defined by the core formula: Data Throughput = (n + m bits) x 2ᵖ /cycle This method effectively optimizes spectral efficiency by exploiting phase-superposition, offering a robust alternative to conventional PAM-OFDM-phase architectures. Item Value Conventional HBM3e Bandwidth ~1. 2 TB/s MQM HBM4 Theoretical Bandwidth ~1 PB/s (Frequency (8 bits), Amplitude (8 bits), Phase (8 bits) ) Multiplier ~833× Crazy MQM ~64 PB/s (Frequency (8 bits), Amplitude (8 bits), Phase (14 bits) ) = 2⁵6 bits/s (which is theoretically comparable to a 56–60 Qubit-scale data throughput capacity. ) "While Google's Willow required a multi-billion dollar investment to reach 105 Qubits, MQM delivers equivalent-scale data throughput (~56–60 Qubit-capacity) by integratinga single compact MQM encoder/decoder IP block into existing CPU and HBM architectures — no redesign required. " * Intellectual Property Block: IP blockn th CPU/GPU core → MQM Encoder IP → wire → MQM Decoder IP → HBM4 or all electronicsHPM4 or all electronics → MQM Encoder IP → wire → MQM Decoder IP → n th CPU/GPU core ------------------------------------------------------------------------ CPU / GPU / NPU┌────────────────────────┐│ ┌─────────┐ ┌─────────┐ ││ │ Core 1. . . . . . │ │ Core n │ ││ └────┬────┘ └────┬────┘ ││ │ │ ││ ┌────┴────┐ ┌────┴────┐ ││ │ MQM │ │ MQM │ ││ │ ENC/DEC │ │ ENC/DEC │ ││ └────┬────┘ └────┬────┘ │└─────┼───────────┼──────┘ ↕ ↕ ══════╪═══════════╪═════ Existing wire (unchanged) ══════╪═══════════╪═════ ↕ ↕ ┌─────┼───────────┼─────┐│ ┌────┴────┐ ┌────┴────┐││ │ MQM │ │ MQM │││ │ ENC/DEC │ │ ENC/DEC │││ └────┬────┘ └────┬────┘ ││ │ │ ││ ┌────┴────┐ ┌────┴────┐ ││ │ HBM4 / │ │ HBM4 / │ ││ │All Elec │ │All Elec │ ││ └─────────┘ └─────────┘ │└────────────────────────┘ HBM4 / All Electronics image Files: 3-1. CPUHBMALL electronics. png (CPU / GPU / NPU HBM) 3-2. CPUHBMALL electronics. png (All electronics optic fiber/wire all electronics) MQM ALU: 6. MQMALUWave (26. 03. 13) 2-1. jpg 73 Hz on 85 mv Option B (Amp-Primary): 73 mV carrier with 85 Hz modulation => 73 mv on 85 Hz "Practical Implementation-Ready: This work includes precise physical-layer data conversion benchmarks (Byte 1: 73, Byte 2: 85), allowing for direct translation from theoretical 3D-mapping models to actionable hardware protocols. " ☞ Technical Implementation Notes • Parameter Scaling: The raw decimal values (73 and 85) serve as the base digital units. The final physical output is derived by multiplying these values with the system-specific Scaling Factor to account for sensor sensitivity and calibration. • Interpretation Methodology: Depending on the target sensor module, the system interprets the byte value either in the frequency domain (Hz) for oscillation analysis or in the voltage domain (mV) for bio-potential measurements. •Data Integrity: Ensure that the scaling factor remains synchronized between the transmitter and the receiver to maintain precision in signal reconstruction. ------------------------------------------------------------------------ Technical Specifications for MQM Throughput in HBM4 Interface: This study proposes a high-density data transmission logic utilizing the HBM4 2048-wire (channel) architecture. By integrating Frequency, Amplitude, and Phase modulation, the system achieves the following throughput: Modulation Parameters: Frequency (8 bits), Amplitude (8 bits), Phase (8 bits) Per-Wire Throughput Logic: (8 bits Frequency + 8 bits Amplitude) x 2⁸ (Phase states) = 4, 096 bits/cycle Channel Scaling: 64 wires (Channels): 64 x 4, 096 bits/cycle = 262, 144 bits/cycle = 32 KB/cycle 2048 wires (Full HBM4): 2, 048 x 4, 096 bits/cycle = 8, 388, 608 bits/cycle = 1MB/cycle Performance Metrics at 1 GHz Clock Frequency: 64-wire Channel: Provides 32 KB/cycle, achieving a bandwidth of 32 GB/s. 2048-wire Interface: Provides 1 MB/cycle, achieving a total bandwidth of 1 PB/s (Petabyte per second). => schema: MQMfinal (2026. 03. 07). jpg, MQMₜable (2026₀3₀9). jpg Item Value Conventional HBM3e Bandwidth ~1. 2 TB/s MQM HBM4 Theoretical Bandwidth ~1 PB/s (Frequency (8 bits), Amplitude (8 bits), Phase (8 bits) ) Multiplier ~833× Crazy MQM ~64 PB/s (Frequency (8 bits), Amplitude (8 bits), Phase (14 bits) ) = 2⁵6 bits/s (which is theoretically comparable to a 56–60 Qubit-scale data throughput capacity. ) This architecture enables deterministic, ultra-high-speed data streaming, effectively eliminating memory bottlenecks in large-scale neural network databases. This document is released as Prior Art (2026. 03. 04) to serve the research community by establishing public domain accessibility and preventing restrictive third-party patent claims. The authors waive all patent rights; this work is strictly open-source. Author: Sungtae Park (scwpark) | scwpark@naver. comCo-worker: Hyunuk Pak | iamgilchi@naver. comCo-worker: EunHwan Park | dmsghks0421@gmail. com GitHub: https: //github. com/scwpark/MQM-Wave-based-ALU-and-Data-TransferCommunity: https: //cafe. daum. net/scwpark https: //blog. naver. com/namyangjufirst/223768176061