scholarly journals Uniform approximation by (quantum) polynomials

2011 ◽  
Vol 11 (3&4) ◽  
pp. 215-225
Author(s):  
Andrew Drucker ◽  
Ronald de Wolf

We show that quantum algorithms can be used to re-prove a classical theorem in approximation theory, Jackson's Theorem, which gives a nearly-optimal quantitative version of Weierstrass's Theorem on uniform approximation of continuous functions by polynomials. We provide two proofs, based respectively on quantum counting and on quantum phase estimation.

2019 ◽  
Vol 27 (21) ◽  
pp. 31023 ◽  
Author(s):  
Changho Hong ◽  
Jino Heo ◽  
Min-Sung Kang ◽  
Jingak Jang ◽  
Hyun-Jin Yang ◽  
...  

2016 ◽  
Vol 94 (4) ◽  
Author(s):  
Hristo S. Tonchev ◽  
Nikolay V. Vitanov

2012 ◽  
Vol 12 (9&10) ◽  
pp. 864-875
Author(s):  
Hamed Ahmadi ◽  
Chen-Fu Chiang

While Quantum phase estimation (QPE) is at the core of many quantum algorithms known to date, its physical implementation (algorithms based on quantum Fourier transform (QFT) ) is highly constrained by the requirement of high-precision controlled phase shift operators, which remain difficult to realize. In this paper, we introduce an alternative approach to approximately implement QPE with arbitrary constant-precision controlled phase shift operators. The new quantum algorithm bridges the gap between QPE algorithms based on QFT and Kitaev's original approach. For approximating the eigenphase precise to the nth bit, Kitaev's original approach does not require any controlled phase shift operator. In contrast, QPE algorithms based on QFT or approximate QFT require controlled phase shift operators with precision of at least Pi/2n. The new approach fills the gap and requires only arbitrary constant-precision controlled phase shift operators. From a physical implementation viewpoint, the new algorithm outperforms Kitaev's approach.


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