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ENTROPICA LABS

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The Quantum Software House Making quantum computers useful


QUANTUM COMPUTING IS INEVITABLE

Classical computers have fundamental limitations. Quantum computing will remove
today's computational bottlenecks and will continue growing computing power.

April 9, 2024

Quantum Engineering Programme (QEP) 3.0 Launch!

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March 26, 2024

APS March Meeting: A Focus on Quantum Computing

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March 19, 2024

Entropica Labs speaking at #Q2bParisConference

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100S OF HOURS OF QUANTUM COMPUTATIONS

With hundreds of hours of experience running computations on real quantum
hardware, we have extensive knowledge of their current capabilities and
visibility on what they will offer in the future.

We use this expertise to design software that works on the most advanced cloud
quantum computing platforms, ensuring a smooth integration, testing and
benchmarking across workflows, models and systems.

Meet the Team




OUR HARDWARE-DRIVEN APPROACH

To unlock the power of quantum computing, we first need to make quantum
computers useful. To achieve this goal, we apply a bottom-up, hardware-driven
approach: Our work builds directly on the capabilities and unique features of
the best quantum computers available.


FROM THEORY TO SOLUTION

Most quantum algorithms, and schemes for quantum error correction and fault
tolerance, can't be applied straight out of the textbook. We are developing the
components and techniques needed to bridge the gap between science and practical
solutions that address real problems.


FROM SOLUTION TO CODE

New computing paradigms call for new software tools. We research and develop
code with the abstractions, modularisation, and data management structures that
fit quantum computing workflows.


FROM CODE TO PERFORMANCE

Large-scale quantum computing demands more than research-grade code. Based on
our research and user feedback, we develop high-quality, scalable, and secure
software products.

device = create_device(location='loc',name=f'{n_qubits}q-qvm', **qpu_args)
device = create_device(location='loc',name=f'{n_qubits}q-qvm', **qpu_args)
device = create_device(location='loc',name=f'{n_qubits}q-qvm', **qpu_args)
device = create_device(location='loc',name=f'{n_qubits}q-qvm', **qpu_args)
q_qpu = QAOA() n_qubits = np_qubo.n device = create_device(locat ion='loc',
name=f'{n_qubits}q- qvm', **qpu_args)


OPTIMISATION WITH QUANTUM COMPUTERS

An easy-to-use, flexible open-source library to create, customise and execute
QAOA workflows on quantum computers and simulators.

Start building QAOA workflows today


HOW CAN QUANTUM TRANSFORM YOUR BUSINESS

The Entropica Team can help you to understand
what quantum computing can do for you

Let's talk!

Per Aspera ad Quantum 
Per Quantum ad Astra

To quantum through challenges
To the stars with Quantum

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