Quantum Random Access Memory for Dummies
Quantum Random Access Memory (QRAM) has the potential to revolutionize the area of quantum computing. QRAM uses quantum computing principles to store and modify quantum or classical data efficiently, greatly accelerating a wide range of computer processes. Despite its importance, there is a lack of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/17/7462 |
| _version_ | 1827727821303185408 |
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| author | Koustubh Phalak Avimita Chatterjee Swaroop Ghosh |
| author_facet | Koustubh Phalak Avimita Chatterjee Swaroop Ghosh |
| author_sort | Koustubh Phalak |
| collection | DOAJ |
| description | Quantum Random Access Memory (QRAM) has the potential to revolutionize the area of quantum computing. QRAM uses quantum computing principles to store and modify quantum or classical data efficiently, greatly accelerating a wide range of computer processes. Despite its importance, there is a lack of comprehensive surveys that cover the entire spectrum of QRAM architectures. We fill this gap by providing a comprehensive review of QRAM, emphasizing its significance and viability in existing noisy quantum computers. By drawing comparisons with conventional RAM for ease of understanding, this survey clarifies the fundamental ideas and actions of QRAM. QRAM provides an exponential time advantage compared to its classical counterpart by reading and writing all data at once, which is achieved owing to storage of data in a superposition of states. Overall, we compare six different QRAM technologies in terms of their structure and workings, circuit width and depth, unique qualities, practical implementation, and drawbacks. In general, with the exception of trainable machine learning-based QRAMs, we observe that QRAM has exponential depth/width requirements in terms of the number of qubits/qudits and that most QRAM implementations are practical for superconducting and trapped-ion qubit systems. |
| first_indexed | 2024-03-10T23:13:26Z |
| format | Article |
| id | doaj.art-75154180a6154e7cab8bd4acb90ea71b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T23:13:26Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-75154180a6154e7cab8bd4acb90ea71b2023-11-19T08:50:12ZengMDPI AGSensors1424-82202023-08-012317746210.3390/s23177462Quantum Random Access Memory for DummiesKoustubh Phalak0Avimita Chatterjee1Swaroop Ghosh2School of Electrical Engineering and Computer Science, The Pennsylvania State University, State College, PA 16802, USASchool of Electrical Engineering and Computer Science, The Pennsylvania State University, State College, PA 16802, USASchool of Electrical Engineering and Computer Science, The Pennsylvania State University, State College, PA 16802, USAQuantum Random Access Memory (QRAM) has the potential to revolutionize the area of quantum computing. QRAM uses quantum computing principles to store and modify quantum or classical data efficiently, greatly accelerating a wide range of computer processes. Despite its importance, there is a lack of comprehensive surveys that cover the entire spectrum of QRAM architectures. We fill this gap by providing a comprehensive review of QRAM, emphasizing its significance and viability in existing noisy quantum computers. By drawing comparisons with conventional RAM for ease of understanding, this survey clarifies the fundamental ideas and actions of QRAM. QRAM provides an exponential time advantage compared to its classical counterpart by reading and writing all data at once, which is achieved owing to storage of data in a superposition of states. Overall, we compare six different QRAM technologies in terms of their structure and workings, circuit width and depth, unique qualities, practical implementation, and drawbacks. In general, with the exception of trainable machine learning-based QRAMs, we observe that QRAM has exponential depth/width requirements in terms of the number of qubits/qudits and that most QRAM implementations are practical for superconducting and trapped-ion qubit systems.https://www.mdpi.com/1424-8220/23/17/7462quantum computingquantum RAMquditbucket-brigade QRAMflip-flop QRAMEQGAN |
| spellingShingle | Koustubh Phalak Avimita Chatterjee Swaroop Ghosh Quantum Random Access Memory for Dummies Sensors quantum computing quantum RAM qudit bucket-brigade QRAM flip-flop QRAM EQGAN |
| title | Quantum Random Access Memory for Dummies |
| title_full | Quantum Random Access Memory for Dummies |
| title_fullStr | Quantum Random Access Memory for Dummies |
| title_full_unstemmed | Quantum Random Access Memory for Dummies |
| title_short | Quantum Random Access Memory for Dummies |
| title_sort | quantum random access memory for dummies |
| topic | quantum computing quantum RAM qudit bucket-brigade QRAM flip-flop QRAM EQGAN |
| url | https://www.mdpi.com/1424-8220/23/17/7462 |
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