MQM (Multi-Quantum Mode) introduces a **Wave based ALUs **architecture — a Post-Von Neumann, next-generation ALU design for CPU, GPU, and NPU systems. ( Wave based computing ).
"MQM synthesizes Frequency(Color, n bits), Amplitude(Brightness / Intensity, m bits), and Phase(Interference · Diffraction · Polarization, p Bits) into a unified 3D signal. This approach is applicable across diverse data channels, including Wave based computing/Wave based ALUs (CPU/GPU/NPU cores), internal buses, memory systems (RAM, HBM), a photonic interconnects over optical media and backbone networks.
the MQM WAVE based computing algorithm achieves a theoretical throughput defined by the core formula:
**Data Throughput examples = [ ( n + m bits) x 2^p ]/cycle **
This method effectively optimizes spectral efficiency by exploiting phase-superposition,
offering a robust alternative to conventional PAM-OFDM-phase architectures.
[ n th CPU/GPU core ] → [MQM Encoder IP] → wire → [MQM Decoder IP] → [HBM4 or all electronics]
[HPM4 or all electronics] → [MQM Encoder IP] → wire → [MQM Decoder IP] → [ n th CPU/GPU core ]
image Files : 3-1.CPU_HBM_ALL electronics.png ( CPU / GPU / NPU <=> HBM )
3-2.CPU_HBM_ALL electronics.png ( All electronics <=> optic fiber/wire <=> all electronics )
MQM algorithm :
4.( ENG/KOR) Final(26.03.04-04.07)SCW_G.pdf : Superposition example ( python)
- MQM_Final(26.03.04-03.09)SCW_G (appendix).pdf
MQM ALU :
6. MQM_ALU_Wave (26.03.13)2-1.jpg <====== MQM ALU
-
MQM_ALU_Wave (26.03.13)2-2.jpg <====== MQM ALU
-
[ENG]MQM_Wave based Computing_ALU(26.03.04-04.07)SCW_G.pdf
6.**[KOR]MQM_Wave based Computing_ALU(26.03.04-04.07)SCW_G.pdf ** : Superposition example (python)
"( Wave based ALU, Next generation ALU )"
7-1.MQM_ALU_Circuit(50PS(data)_50PS(NC)easy.pptx
"MQM eliminates the fundamental premise of on-chip HBM integration.
When existing wires deliver 128 ( Frequency (8 bits), Amplitude (8 bits), Phase (3 bits) )x bandwidth improvement
through multi-dimensional encoding, physically stacking HBM on the GPU die becomes an unnecessary cost,
thermal, and maintainability burden."
"By decoupling HBM from the GPU die via MQM interconnect, each component becomes independently
replaceable — GPU failure requires only GPU replacement, and HBM failure requires only HBM replacement."
Theoretical Framework and Throughput Specification:
The proposed MQM architecture defines each data symbol as a function of Frequency (F), Amplitude (A), and Phase (P).
The core signal transformation is expressed by the wave equation:
S(t)=Asin(2πft+ϕ)
By mapping bit-depths to each physical parameter—Amplitude (8 bits), Frequency (8 bits), and Phase state(8 bits)—the system transcends
traditional binary constraints. The data density is calculated as (8+8) x 2^8 = 4,096 bits per wire per cycle.
▷ Data Transmission Analysis for Phase 1
The following table outlines the binary data transmission during the Phase 1 operation,
mapping the bit streams to their corresponding decimal values and ASCII interpretations.
MQM pipeline includes Huffman pre-compression before transmission.
Reference implementation: Huffman (VC 6.0 Korean version)
8_huffmancode_mem_DecompressHeapsort_frequencycompact(2006-7-18).zip
- Author: Sungtae Park (scwpark)
- Source code available in this repository
For 6-configuration design freedom (F/A/P State selection), see: MQM_Final(26.03.04-03.09)S_G (appendix).pdf
본 MQM 기술은 전 세계 반도체 및 컴퓨팅 생태계의 발전을 위해 **'선행 기술(Prior Art)'**로서 오픈 소스로 공개되었습니다. 저자(scwpark)는 핵심 알고리즘에 대한 모든 독점적 특허권을 포기합니다. 다만, 기술의 올바른 확산과 지적 정직성을 위해 다음 사항을 의무화합니다.
Mandatory Citation Policy:
- Mandatory Citation: Any third-party patent application, academic paper, or commercial implementation utilizing the MQM algorithm as a foundational technology must explicitly cite this original work and provide its corresponding Zenodo DOI as prior art.
- Anti-Monopoly: No entity may claim exclusive ownership or patent rights over the core MQM 3D-mapping logic itself. Patent claims must be limited to specific, additional implementation methods that do not restrict the public use of the original MQM algorithm.
출처 명기 의무화 정책:
- 출처 명기 의무: 본 MQM 알고리즘을 기초 기술로 활용하는 제3자의 모든 응용 특허 출원, 논문, 또는 상업적 구현물은 반드시 원천 기술인 MQM 알고리즘과 본 문서의 Zenodo DOI를 선행 기술로 명시적으로 인용해야 합니다.
- 독점 금지: 그 어떤 개인이나 단체도 MQM 3D 매핑 로직 자체에 대해 독점적 권리를 주장할 수 없습니다. 모든 특허 청구 범위는 원천 기술의 공공적 사용을 제한하지 않는 범위 내에서, 추가적인 독창적 구현 방식에만 국한되어야 합니다.
- Inventor: Sungtae Park (scwpark@daum.net, scwpark@naver.com, inactive( scwpark@hananet.net, scwpark@lge.com ) )
- Co-workers: Hyunuk Pak, EunHwan Park
- Community: https://cafe.daum.net/scwpark
- Zenodo DOI(Latest): https://doi.org/10.5281/zenodo.19449687
- Zenodo DOI: https://doi.org/10.5281/zenodo.18924211
.jpg)
MQM is free and open-source forever — no patent, no fee.
If MQM helped you in any way, even a single cup of coffee keeps this old doctor-inventor going! 🦋
👉💰 Support MQM (후원):
Shinhan Bank (신한은행)
Name: PARK SUNG TAE
SWIFT: SHBKKRSE
Account: 110-623-275173
*"In the early 2000s, I built a C/C++-based in-memory database using M-way threaded (AVL & Red-Black) trees + splay tree .
- It was taken — by companies, by people — and quietly folded into AI systems and databases without a word.*
I said nothing. I moved on. I went to medical school.
But here I am again, with MQM. And I'm giving this one away too — freely, deliberately, and without regret.
I had this dream in the 1980s. Forty years later, I'm giving it to the world for free. A coffee would be nice though." 🦋😄

