![]() In addition, we offer Python-based tools that easily let you plug in your favorite libraries to analyze and plot the results. The Microsoft Quantum Development Kit (QDK) offers multiple simulator back-ends that can be targeted by the Q# compiler and runtime. Simulators can be a great way to get started with quantum programming, and they also offer a way to understand the hardware requirements of a specific algorithm. To get started with quantum development of chemistry algorithms, you can either run quantum algorithms on a simulator or on near-term hardware. If you are interested in what chemical systems can benefit most from quantum computers, please take a look at our latest work: Prospects of Quantum Computing for Molecular Sciences. Such advantage can unlock the ability to study molecules and chemical phenomena we were not able to study before. While exact calculations may even be intractable for these classical systems, quantum computers can reveal the exact quantum nature of chemical systems. For instance, a simple, approximate quantum chemistry calculation could take many hours to run on a large computational cluster. However, the complex nature of quantum effects make them computationally expensive to simulate. ![]() Quantum mechanics plays a dominant role in the behavior of molecular systems at the fundamental scales. That’s why one of the most impactful future applications of quantum computing is chemistry simulation. Quantum computers will be able to reveal the exact quantum nature of chemical systems exponentially faster than classical computers. Co-authored by Hongbin Liu, Researcher at Microsoft Quantum
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