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Efficient Floating-Point Arithmetic on Fault-Tolerant Quantum Computers

Journal Article · · No journal information
OSTI ID:3000297
We propose a novel floating-point encoding scheme that builds on prior work involving fixed-point encodings. We encode floating-point numbers using Two's Complement fixed-point mantissas and Two's Complement integral exponents. We used our proposed approach to develop quantum algorithms for fundamental arithmetic operations, such as bit-shifting, reciprocation, multiplication, and addition. We prototyped and investigated the performance of the floating-point encoding scheme on quantum computer simulations by performing reciprocation on randomly drawn inputs and by solving first-order ordinary differential equations, while varying the number of qubits in the encoding. We observed rapid convergence to the exact solutions as we increased the number of qubits and a significant reduction in the number of ancilla qubits required for reciprocation when compared with similar approaches.
Research Organization:
NASA, Ames; Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Weill Cornell Med. Coll.
Sponsoring Organization:
US Department of Energy
DOE Contract Number:
89243024CSC000002
OSTI ID:
3000297
Report Number(s):
FERMILAB-PUB-25-0270-SQMS; oai:inspirehep.net:3072660; arXiv:2510.20145
Journal Information:
No journal information, Journal Name: No journal information
Country of Publication:
United States
Language:
English

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