Quantum Stack

A New Era in Computer Science

Quantum Computers function by taking advantage of special rules reserved for sub-atomic particles in order to perform the most complex tasks at currently impossible speeds. Their capabilities far beyond our daily needs, what they are capable of will revolutionize what’s possible for high-tech applications such as running quantum simulations which can unlock previously impossible to access information and solve problems that traditional semi-conducting computers could never do.

Quantum Annealing

Unparalleded Problem Solving

Maximum reduction of execution time by minimizing multi dimensional functions for Combinatorial optimization along with mathematical optimization that is related to operations research, algorithm theory, and computational complexity theory. This plays a vital role in important applications in several fields, including Strong Artificial Intelligence, Advanced Machine Learning, auction theory, and Quantum Software Engineering.

Quantum Cloud Services

Anubis Cloud Services & SDK

Quantum cloud platform symbiotic integrated systems connecting the best of classical computing with quantum virtual machines through Ubuntu. We offer a unique QVM that runs hosted locally connecting servers to our advanced hardware and Quantum processing units. Start Quantum Programming with our Software Development Kit – Anubus (SDK).

Download Whitelist
Quantum Hardware

Energy-Efficient Computing

Graphene transistor-based logic circuits improve the clock speed of microprocessors by a thousand times, and require a hundredth of the power required by silicon-based computers this allows us to create quantum capacitors that can create stable qubits These QPU’s are also resistant to common electromagnetic interference and have the ability to become zero-resistance superconductors. We are developing an all-carbon computing system prototype.

Qauntum Processing Units

Entanglement And Superposition with

Two Types of Qubits


Spin-based Quantum Computing (SBQC)


Linear Optical Quantum Computing (LOQC)

Quantum Use Cases

Possibilities are unfathomable

Quantum Computational Finance

Pythonic Algorithmic Trading – Advanced Computer Programs developed in Python that follows a defined set of instructions for placing a trade orders.We can build a Quantum Algorithmic trading program that dynamically identifies the best profitable opportunities and place the trades in order to generate profits at a speed and frequency that is impossible to match by a Trading systems or any forex software on the market.Using Quantum computing hardware this offers higher accuracy and lightning-fast execution speed,capable at unparalleled trading activities and algorithms that have a tremendous competitive advantage over traditional quantitative finance that is usually dominated by large trading firms, such as hedge funds, investment banks and proprietary trading firms.

Advanced Machine Learning

Exceeding high-volume data stream matches expectations, with quick adaptability to distributional data shifts. Simultaneously running probabilistic reasoning for streaming anomaly detections while conducting Multilinear subspace learning, Unsupervised learning algorithms in the quantum state. Enhance performance with Data Swarm Intelligence and hybrid methods that involve both classical and quantum processing, where computationally expensive subroutines are outsourced to a quantum processors. Quantum algorithms can be used to analyze quantum states and processes associated with machine learning methods applied to data generated from quantum experiments, such as learning quantum phase transitions or creating new quantum experiments. Quantum machine learning also extends to a branch of research that explores methodological and structural similarities between certain physical systems and learning systems, in particular artificial neural networks. For example, some mathematical and numerical techniques from quantum physics carry over to classical deep learning.

Quantum Algorithms

Can be used for Amplitude amplification, a technique that allows the amplification of a chosen subspace of a quantum state. Applications of amplitude amplification usually lead to quadratic speedups over the corresponding classical algorithms. Simulate quantum physical processes exponentially faster than classical computers, Efficient polynomial-time quantum algorithms developed for simulating both Bosonic and Fermionic systems and the simulation of chemical reactions beyond the capabilities of current classical supercomputers. Quantum computers can also efficiently simulate topological quantum field theories such as quantum topological invariants like Jones and HOMFLY polynomials, and the Turaev-Viro invariant of three-dimensional manifolds.

Ethical Hacking & Cyber Security

Conducting Quantum Penetration Testing or Password Cracking Systems using Quantum Computational power with key combinations that can guess public and private key by processing millions times faster than desktops, servers or laptop. Secondly using Quantum software attacks at computer systems, internet entry points and networking infrastructure looking for security weaknesses in code and potentially gaining access to the computer’s features and data. Identifies the target systems and a particular goal then automatically reviews available information with data mining techniques and undertakes various means to attain the goal of data retrieval, modification, or insertion. Ankh .1 the uses Quantum-based cryptographic systems to implement the functions of public key cryptography for blockchain applications resulting more secure than traditional systems and networks against quantum hacking.

Joint Venture Partners