Dynex (Matador Quantum Computer) is being accepted by more and more artificial intelligence investors.
The following 100x coin hunter spent 25 hours editing all aspects of the big bull coin $DNX: $DNX - The Most Undervalued Projects
01Overview
Dynex (Matador Quantum Computers) is the world's only accessible neuromorphic quantum computing cloud that can solve real-world problems at scale.
02Narrative
#GPU #AI #neural network #quantum computer
03Team
35+ members including experts/PhDs in quantum computing/cryptography
04Neuromorphic Quantum Computing:
Dynex is the world's only accessible neuromorphic quantum computing cloud that can solve real-world problems at scale.
What is quantum computing?
Ordinary computer use bit (can be 0/1)
Quantum computers use qubits (which can be 0 & 1 at a time)
Allows large amounts of information to be processed simultaneously
Powerful in certain tasks
What is neuromorphic quantum computing?
Decades of research results
Combining brain-like computing with quantum technology (
)
Using a connected network of components
Can respond quickly to changes
Helps the system find the best solution quickly
Mimicking the brain’s natural processes
Use everyday electrical behavior
The NQC, which can be simulated on current computers and built with conventional electrical parts, overcomes typical limitations of quantum computers (number of qubits, operating temperature, error correction) making it possible to run quantum algorithms at scale , suitable for real-world applications rather than just 'toy problems'. Although still relatively new, the NQC has unlimited potential, and Dynex is making its quantum computing platform available to the public for the first time.
05 Neuromorphic QC vs. Traditional QC:
NQC overcomes many of the problems that hinder normal QC. Examples include the following.
Error correction:
QC: Challenging due to the large number of qubit states of the processor
NQC: Millions of variables and constraints can be efficiently computed on n.quantum computers
Hardware and Temperature:
QC: Requires near absolute zero temperature (-273 ° C) to operate stably
NQC: Operates at room temperature using conventional hardware (
)
Zoom:
QC: Still relatively small compared to classical computers, which hinders scaling to thousands of qubits without errors
NQC: There is almost no limit to the number of digits calculated
06 Other advantages of NQC:
Brain-type computing: instantaneous jumps of long-range correlations based on gates supporting input/output signal superposition
Intrinsic parallelism: NQC can occupy infinite coordinates simultaneously and all neurons/synapses can run simultaneously
Neumann bottleneck (processor/memory separation): Merge memory and process seamlessly to increase throughput and reduce energy consumption by reducing the need to access data from main memory
Event-driven computing:
Achieve extremely high computing efficiency
Low power requirements:
Due to event-driven computing and inherent parallelism, NQC uses very little power
Only a small part of the system needs to be activated at a time As you can see, if done correctly, NQC is infinitely superior to traditional QC, and with further development it could become truly revolutionary.
07 How does Dynex work?
User runs computing tasks: Use Dynex SDK to publish computing tasks to the platform through Python. You need to define the tasks in Python.
Buy and deposit DNX in the platform for payment (
)
Define block fees/solution rewards for miners
Finally: Run the calculation
Miners perform calculations:
DynexMallob organizes and prioritizes the work assignments/parameter adjustment jobs submitted by Dynex customers and starts calculating
Miners mine Dynex ( DynexSolve algorithm)
Customers receive solutions and calculation verification
Miners get rewards: Miners who complete tasks will receive rewards allocated after DNX calculates block fees
08 Main functions of Dynex:
DynexSolve: Dynex proprietary mining algorithm
Solving real-life computing tasks
Proof of Use or PoUW
Based on memristor with memory
Leveraging the extraordinary performance of memristors
Perform ODE integration (simulation) of Dynex chips
Leveraging the parallel processing power of 120,000 GPUs
DynexMallob: System for organizing and prioritizing jobs submitted by Dynex customers Set the number of chips to be used
DynexSDK: Python package for computing on the Dynex platform
Provides n.quantum Ising / QUBO sampler
The Dynex sampler object can simply replace the default sampler object that is usually used to run the calculation
Helping to re-solve the application issues to find solutions through the Dynex platform
Automatically handles the communication between your application code and the Dynex platform
Marketplace:
Customers can apply for a platform to run computing jobs
Clients pay for work using DNX coins or fiat currency
Bringing NQC to a global audience for the first time
More than 8,000 jobs completed
09 World Record Quantum Computing:
Biggest cutting problem
Involving 896 GPUs to simulate 1,688 qubits
Able to parse graphs with 3,375 vertices
Dynex solves a graph with 10,000 vertices
Using only 19 workers out of a total of over 120,000 available GPUs for about 15 minutes (
)
The calculation involved 18,653 quantum gates and 10,009 qubits
10 Use Cases:
Enhanced AI: Quantum Boltzmann Machine Quantum Single Image Super Resolution Quantum Support Vector Machine Mode-Assisted Quantum Restricted Boltzmann Machine
Drug Applications: Innovation in Drug Repurposing Using 3D Molecular Quantum Methods
RNA folding at a very large scale
Enzyme target prediction
Breast cancer prediction
Financial Services: Using Quantum Algorithms to Optimize Stock Portfolios
By overcoming the typical limitations of multiplying the complexity of inventory quantities
Automotive, aerospace, super sports and space: Quantum computing for fluid dynamics empowers engineers to accelerate the QCFD simulation process to promote innovation and drive progress in fields that rely on fluid dynamics analysis
Telecommunications: Optimize network design and operations to increase Internet speed, reduce latency, and improve network efficiency
Advancing secure communications (QKD)
11Market value comparison:
Internet Computer: $6.1 B market cap
136x for DNX
Render: $4.3 B market cap
96x for DNX
Theta Network: $2.5B market cap
55x for DNX
Akash Network: $1.3 B market cap
30x for DNX
Note that none of these are direct competition to Dynex, as it is the only neuromorphic quantum computing cloud in the world and therefore has no competition, benchmarking against similar computing power projects shows the project's room for growth and the degree of underestimation.
12 The author finally stated:
This project is legal, purely technical, no nonsense. This project is the most undervalued one I have ever seen in the crypto, not just one of them. Such undervaluation is beyond my understanding, there must be manipulation. I wrote this introduction more out of justice.
