MQM Wave based Computing, 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-Computing-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) "MQM synthesizes Frequency (Color), Amplitude (Brightness / Intensity), and Phase (Interference · Diffraction · Polarization) into a unified 3D signal. This approach is applicable across diverse data channels, including wave-based ALUs (CPU/GPU/NPU cores), internal buses, memory systems (RAM, HBM), a photonic interconnects over optical media and backbone networks. MQM optical communication makes it possible to strip robots, and self-driving cars etc. down to a single lightweight MQM chip — and let the server think for them. When latency collapses to near-zero, intelligence no longer needs to be local. The future of autonomy is not onboard. It's in the network. ("The future of autonomy is not onboard. It's in the network. ") — MQM solves the latency wall that Cloud Robotics couldn't overcome. (Employing multiple MQM Core C units may improve system safety and robustness. ) This work proposes MQM, a wave based ALU architecture for CPU/GPU/NPU computing. The wave based computing approach integrates frequency, amplitude, and phase into a unified 3D signal representation. By introducing MQM as a wave based ALU, the system achieves post-Von Neumann scale performance for next-generation processors. Unlike conventional PAM-OFDM architectures, the wave based computing method leverages phase-superposition to maximize throughput. This technical note demonstrates how MQM enables a compact wave based ALU design that can be integrated into CPU, GPU, and NPU cores without redesign. Applications include optical interconnects, HBM memory systems, and robotics, where the wave based ALU provides petabyte-per-second data transfer capacity. The future of autonomy is not onboard—it is in the network, powered by wave based computing 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 examples = (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 algorithm: 4. (ENG/KOR) Final (26. 03. 04-04. 07) SCWG. pdf: Superposition example (python) 5. MQMFinal (26. 03. 04-03. 09) SCWG (appendix). pdf 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 Ban