194 research outputs found
Measuring time-energy resources for quantum processes
Parallel Session BThe speed of any quantum process is limited by quantum mechanics via time-energy uncertainty relations and they imply that time and energy are tradeoff with each other. As such, we propose to measure the time-energy as a single unit for quantum channels. We consider a time-energy measure for quantum channels and compute lower and upper bounds of it using the channel Kraus operators. For a special class of channels (which includes the depolarizing channel), we obtain the exact value of the time-energy measure. Our result can be used to compare the time-energy resources of similar quantum processes. In particular, we show that erasing quantum information requires √(n + 1)/n) times more time-energy resource than erasing classical information, where n is the system dimension. This work is published in [1].postprin
Relation between physical time-energy cost of a quantum process and its information fidelity
published_or_final_versio
Measuring time-energy resources for quantum processes
Parallel Session BThe speed of any quantum process is limited by quantum mechanics via time-energy uncertainty relations and they imply that time and energy are tradeoff with each other. As such, we propose to measure the time-energy as a single unit for quantum channels. We consider a time-energy measure for quantum channels and compute lower and upper bounds of it using the channel Kraus operators. For a special class of channels (which includes the depolarizing channel), we obtain the exact value of the time-energy measure. Our result can be used to compare the time-energy resources of similar quantum processes. In particular, we show that erasing quantum information requires √(n + 1)/n) times more time-energy resource than erasing classical information, where n is the system dimension. This work is published in [1].postprin
Statistical fluctuation analysis for measurement-device-independent quantum key distribution
published_or_final_versio
Auto-ID enabled tracking and tracing data sharing over dynamic B2B and B2G relationships
RFID 2011 collocated with the 2011 IEEE MTT-S International Microwave Workshop Series on Millimeter Wave Integration Technologies (IMWS 2011)Growing complexity and uncertainty are still the key challenges enterprises are facing in managing and re-engineering their existing supply chains. To tackle these challenges, they are continuing innovating management practices and piloting emerging technologies for achieving supply chain visibility, agility, adaptability and security. Nowadays, subcontracting has already become a common practice in modern logistics industry through partnership establishment between the involved stakeholders for delivering consignments from a consignor to a consignee. Companies involved in international supply chain are piloting various supply chain security and integrity initiatives promoted by customs to establish trusted business-to-customs partnership for facilitating global trade and cutting out avoidable supply chain costs and delays due to governmental regulations compliance and unnecessary customs inspection. While existing Auto-ID enabled tracking and tracing solutions are promising for implementing these practices, they provide few efficient privacy protection mechanisms for stakeholders involved in the international supply chain to communicate logistics data over dynamic business-to-business and business-government relationships. A unified privacy protection mechanism is proposed in this work to fill in this gap. © 2011 IEEE.published_or_final_versio
Two-way deterministic quantum key distribution against detector-side-channel attacks
published_or_final_versio
Highly Automated Driving, Secondary Task Performance, and Driver State
Objective: a driving simulator study compared the effect of changes in workload on performance in manual and highly automated driving. Changes in driver state were also observed by examining variations in blink patterns. Background: With the addition of a greater number of advanced driver assistance systems in vehicles, the driver’s role is likely to alter in the future from an operator in manual driving to a supervisor of highly automated cars. Understanding the implications of such advancements on drivers and road safety is important. Method: a total of 50 participants were recruited for this study and drove the simulator in both manual and highly automated mode. As well as comparing the effect of adjustments in driving-related workload on performance, the effect of a secondary Twenty Questions Task was also investigated. Results: in the absence of the secondary task, drivers’ response to critical incidents was similar in manual and highly automated driving conditions. The worst performance was observed when drivers were required to regain control of driving in the automated mode while distracted by the secondary task. Blink frequency patterns were more consistent for manual than automated driving but were generally suppressed during conditions of high workload. Conclusion: highly automated driving did not have a deleterious effect on driver performance, when attention was not diverted to the distracting secondary task. Application: as the number of systems implemented in cars increases, an understanding of the implications of such automation on drivers’ situation awareness, workload, and ability to remain engaged with the driving task is important
Entanglement transformation between sets of bipartite pure quantum states using local operations
published_or_final_versio
Isolation of leptin-binding peptides from a random peptide phage library
Leptin plays a role in regulating the body weight in mice. Injection of recombinant mouse leptin expressed in Escherichia coli reduced the food intake and body weight in normal, ob/ob and diet-induced obesity mice. Hyperglycemia, hyperinsulinemia and hypothermia can also be corrected in ob/ob mice after leptin injection. Leptin is a 16-kDa secretory protein comprising 167 amino acids produced in adipose tissue and is secreted to blood stream. In this study, a recombinant mouse leptin was generated and purified from a baculovirus expression system. This protein was used to identify putative ligands using a phage library of random peptides. Three leptin-binding phage clones were found, which were characterized by DNA sequencing and ELISA methods. The amino acid sequences of the reactive peptides are: LAYCSDPVRCLVWWY, MFWlSAVSFVDHALV and LVLVLSAFLCCGVG. All three clones bound to recombinant human and mouse leptins. These peptides may be useful tools to study leptin-receptor interaction, food intake and body weight regulation.postprin
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