Quantum Cryptanalysis of Hidden Linear Functions (Extended Abstract)

Recently there has been a great deal of interest in the power of “Quantum Computers” [4, 15, 18]. The driving force is the recent beautiful result of Shor that shows that discrete log and factoring are solvable in random quantum polynomial time [15]. We use a method similar to Shor’s to obtain a general theorem about quantum polynomial time. We show that any cryptosystem based on what we refer to as a ‘hidden linear form’ can be broken in quantum polynomial time. Our results imply that the discrete log problem is doable in quantum polynomial time over any group including Galois fields and elliptic curves. Finally, we introduce the notion of ‘junk bits’ which are helpful when performing classical computations that are not injective.

[1]  D. Coppersmith An approximate Fourier transform useful in quantum factoring", IBM Research Report RC19642 ,; R. Cle , 2002, quant-ph/0201067.

[2]  Charles H. Bennett,et al.  Logical reversibility of computation , 1973 .

[3]  Umesh V. Vazirani,et al.  Quantum complexity theory , 1993, STOC.

[4]  Victor S. Miller,et al.  Use of Elliptic Curves in Cryptography , 1985, CRYPTO.

[5]  Joos Vandewalle,et al.  Hash Functions Based on Block Ciphers: A Synthetic Approach , 1993, CRYPTO.

[6]  Ueli Maurer,et al.  Non-interactive Public-Key Cryptography , 1991, EUROCRYPT.

[7]  Andrew Chi-Chih Yao,et al.  Quantum Circuit Complexity , 1993, FOCS.

[8]  N. Koblitz Elliptic curve cryptosystems , 1987 .

[9]  Peter W. Shor,et al.  Algorithms for quantum computation: discrete logarithms and factoring , 1994, Proceedings 35th Annual Symposium on Foundations of Computer Science.

[10]  Whitfield Diffie,et al.  New Directions in Cryptography , 1976, IEEE Trans. Inf. Theory.

[11]  Daniel R. Simon On the power of quantum computation , 1994, Proceedings 35th Annual Symposium on Foundations of Computer Science.

[12]  Gilles Brassard,et al.  Strengths and Weaknesses of Quantum Computing , 1997, SIAM J. Comput..