Quantum complexity theory
Bibliographic References tagged with Quantum complexity theory
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Anurag Anshu. 2022. “Some Recent Progress in Learning Theory: The Quantum Side”. Harvard Data Science Review, 4.1
Anurag Anshu. 2022. “Some Recent Progress in Learning Theory: The Quantum Side”. Harvard Data Science Review, 4.1
Anurag Anshu, Zeph Landau, and Yunchao Liu. 2022. “Distributed Quantum Inner Product Estimation”
Anurag Anshu, Zeph Landau, and Yunchao Liu. 2022. “Distributed Quantum Inner Product Estimation”
Anurag Anshu, Shalev Ben-David, and Srijita Kundu. 2021. “On Query-To-Communication Lifting for Adversary Bounds”
Anurag Anshu, Shalev Ben-David, and Srijita Kundu. 2021. “On Query-To-Communication Lifting for Adversary Bounds”
Anurag Anshu and Chinmay Nirkhe. 2022. “Circuit Lower Bounds for Low-Energy States of Quantum Code Hamiltonians”. In ITCS 2022. Vol. 215
Anurag Anshu and Chinmay Nirkhe. 2022. “Circuit Lower Bounds for Low-Energy States of Quantum Code Hamiltonians”. In ITCS 2022. Vol. 215
Anurag Anshu, Naresh Goud Boddu, and Dave Touchette. 2019. “Quantum Log-Approximate-Rank Conjecture Is Also False”. 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)
Anurag Anshu, Naresh Goud Boddu, and Dave Touchette. 2019. “Quantum Log-Approximate-Rank Conjecture Is Also False”. 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)
Anurag Anshu, Ankit Garg, Aram W. Harrow, and Penghui Yao. 2018. “Expected Communication Cost of Distributed Quantum Tasks”. IEEE Transactions on Information Theory, 64, 11, Pp. 7395-7423
Anurag Anshu, Ankit Garg, Aram W. Harrow, and Penghui Yao. 2018. “Expected Communication Cost of Distributed Quantum Tasks”. IEEE Transactions on Information Theory, 64, 11, Pp. 7395-7423
Anurag Anshu, Dave Touchette, Penghui Yao, and Nengkun Yu. 2017. “Exponential Separation of Quantum Communication and Classical Information”. 49th ACM Symposium on Theory of Computing (STOC) 2017 , Pp. 277–288
Anurag Anshu, Dave Touchette, Penghui Yao, and Nengkun Yu. 2017. “Exponential Separation of Quantum Communication and Classical Information”. 49th ACM Symposium on Theory of Computing (STOC) 2017 , Pp. 277–288
Anurag Anshu, Dmitry Gavinsky, Rahul Jain, Srijita Kundu, Troy Lee, Priyanka Mukhopadhyay, Miklos Santha, and Swagato Sanyal. 2017. “A Composition Theorem for Randomized Query Complexity”. Foundations of Software Technology and Theoretical Computer Science
Anurag Anshu, Dmitry Gavinsky, Rahul Jain, Srijita Kundu, Troy Lee, Priyanka Mukhopadhyay, Miklos Santha, and Swagato Sanyal. 2017. “A Composition Theorem for Randomized Query Complexity”. Foundations of Software Technology and Theoretical Computer Science
Anurag Anshu, Shalev Ben-David, Ankit Garg, Rahul Jain, Robin Kothari, and Troy Lee. 2017. “Separating Quantum Communication and Approximate Rank”. Computational Complexity Conference (CCC) 2017, 79, Pp. 1868-8969
Anurag Anshu, Shalev Ben-David, Ankit Garg, Rahul Jain, Robin Kothari, and Troy Lee. 2017. “Separating Quantum Communication and Approximate Rank”. Computational Complexity Conference (CCC) 2017, 79, Pp. 1868-8969
Anurag Anshu, Rahul Jain, Priyanka Mukhopadhyay, Ala Shayeghi, and Penghui Yao. 2016. “New One Shot Quantum Protocols With Application to Communication Complexity”. IEEE Transactions on Information Theory, 62, 2, Pp. 7566-77
Anurag Anshu, Rahul Jain, Priyanka Mukhopadhyay, Ala Shayeghi, and Penghui Yao. 2016. “New One Shot Quantum Protocols With Application to Communication Complexity”. IEEE Transactions on Information Theory, 62, 2, Pp. 7566-77