RESEARCH
Unraveling the mysteries of disease
The quantum Fractal’s research illustrates that, even with current quantum computing capabilities, it is: Faster than classical computing. As accurate as or even more accurate than classical computing. Capable of tackling complex, molecular-level tasks that classical computers deem impossible. However, this is merely the dawn of the quantum computing era. Nurturing talent and establishing standards are crucial to driving this technology forward for the greater good. Fractal’s commitment to mentoring and collaborating with external organizations, including the IIT Mumbai, Quantum Open Source Foundation, and various quantum initiatives, underscores its dedication to building a global pool of quantum computing expertise.
forward
Managing complex diseases like Alzheimer’s, Huntington’s, Parkinson’s, cancer, and even COVID-19 hinges on understanding the molecular structure of proteins and how they fold. Classical computing struggles to simulate these processes, leading scientists to rely on slow and costly laboratory experiments. Quantum computing offers an alternative. Using a variational quantum eigensolver (VQE) algorithm, Fractal’s team simulated a portion of the Alzheimer’s molecule folding into compared with DeepMind Alphafold, a cutting-edge classical computing AI system for protein structure prediction. Surprisingly, even with a small quantum processor and modest settings, the quantum algorithm matched Alphafold’s accuracy.
As quantum computing advances astonishingly, the future holds exciting possibilities. Research is already showing us how even the smallest quantum computer can surpass the capabilities of classical ones. Just four years ago, molecular simulation was impossible, but today, we can simulate and dissect atomic-level processes like protein folding on a computer. Breakthroughs in quantum AI could revolutionize industries from energy production to geopolitics. It’s foreseeable that quantum computing will be applied to real- world problems within the next decade, and organizations must prepare to harness its potential. In conclusion, the age of quantum computing is upon us, and the opportunities it presents are limitless. It’s time for organizations to embrace this transformative technology and chart their course toward a future powered by quantum computation. Want to learn more about the publication. Read the paper here:
Quantum-powered drug discovery
Another area of exploration involves the application of quantum generative AI to create molecules for medicinal drugs. Fractal developed a quantum version of a generative adversarial network (GAN), a machine learning algorithm where two neural networks compete to enhance their predictions. These quantum GANs (QGANs) were compared with state-of-the-art architectures and demonstrated exceptional performance, yielding the most promising drug candidates.
Quantum computing
Fractal built a hybrid quantum neural classical and quantum layers. Using housing data to predict property prices in Boston, USA, this hybrid network showcased superior accuracy and generalization capabilities compared to classical counterparts. As quantum technology matures, hybrid approaches like this could
Prateek Jain Lead Architect, AI@
Prateek combines an inquisitive mind with a lifelong passion for science and deep experience in AI and machine learning. As a founding member of Fractal’s quantum computing research team, he is focused on helping to build the knowledge and nurture the talent that will drive this new chapter in technology.
Scale, Machine Vision and Conversational AI, Fractal
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ai:sight by Fractal Volume 7
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