
Entropica Labs secures US$ 4.7 million Series A funding
Classical computers have fundamental limitations. Quantum computing will remove today's computational bottlenecks and will continue growing computing power.
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.
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.
Most quantum algorithms are templates - they can't be applied straight out of the textbook. We are developing the algorithmic components needed to bridge the applicability gap.
New computing paradigms call for new software tools. We write software that allows our algorithms to run on the best quantum hardware.
Quantum computing is a rapidly evolving technology. We are constantly researching better ways to increase the effectiveness of the hardware, software, and algorithms.
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)
An easy-to-use, flexible open-source library to create, customise and execute QAOA workflows on quantum computers and simulators.
Start building QAOA workflows todayThe Entropica Team can help you to understand
what quantum computing can do for you