Quantum Decoherence with Holography

Quantum decoherence is the loss of a system's purity due to its interaction with the surrounding environment. Via the AdS/CFT correspondence, we study how a system decoheres when its environment is a strongly-coupled theory. In the Feynman-Vernon formalism, we compute the influence functional holographically by relating it to the generating function of Schwinger-Keldysh propagators and thereby obtain the dynamics of the system's density matrix. We present two exactly solvable examples: (1) a straight string in a BTZ black hole and (2) a scalar probe in AdS$_5$. We prepare an initial state that mimics Schr\"odinger's cat and identify different stages of its decoherence process using the time-scaling behaviors of R\'enyi entropy. We also relate decoherence to local quantum quenches, and by comparing the time evolution behaviors of the Wigner function and R\'enyi entropy we demonstrate that the relaxation of local quantum excitations leads to the collapse of its wave-function.Comment: 55 pages, 13 figures; v2 47 pages & 13 figs, minor revision to match published versio

A Secure and Formally Verified Commodity Multiprocessor Hypervisor

Commodity hypervisors are widely deployed to support virtual machines on multiprocessor server hardware. Modern hypervisors are complex and often integrated with an operating system kernel, posing a significant security risk as writing large, multiprocessor systems software is error-prone. Attackers that successfully exploit hypervisor vulnerabilities may gain unfettered access to virtual machine data and compromise the confidentiality and integrity of virtual machine data. Theoretically, formal verification offers a solution to this problem, by proving that the hypervisor implementation contains no vulnerabilities and protects virtual machine data under all circumstances. However, it remains unknown how one might feasibly verify the entire codebase of a complex, multiprocessor commodity system. My thesis is that modest changes to a commodity system can reduce the required proof effort such that it becomes possible to verify the security properties of the entire system. This dissertation introduces microverification, a new approach for formally verifying the security properties of commodity systems. Microverification reduces the proof effort for a commodity system by retrofitting the system into a small core and a set of untrusted services, thus making it possible to reason about properties of the entire system by verifying the core alone. To verify the multiprocessor hypervisor core, we introduce security-preserving layers to modularize the proof without hiding information leakage so we can prove each layer of the implementation refines its specification, and the top layer specification is refined by all layers of the core implementation. To verify commodity hypervisor features that require dynamically changing information flow, we incorporate data oracles to mask intentional information flow. We can then prove noninterference at the top layer specification and guarantee the resulting security properties hold for the entire hypervisor implementation. Using microverification, we retrofitted the Linux KVM hypervisor with only modest modifications to its codebase. Using Coq, we proved that the hypervisor protects the confidentiality and integrity of VM data, including correctly managing tagged TLBs, shared multi-level page tables, and caches. Our work is the first machine-checked security proof for a commodity multiprocessor hypervisor. Experimental results with real application workloads demonstrate that verified KVM retains KVM’s functionality and performance

The impact of anti-diabetic drugs on colorectal cancer risk in a large cohort of women with diabetes

No Abstrac

Resonance-induced sensitivity enhancement method for conductivity sensors

Methods and systems for improving the sensitivity of a variety of conductivity sensing devices, in particular capacitively-coupled contactless conductivity detectors. A parallel inductor is added to the conductivity sensor. The sensor with the parallel inductor is operated at a resonant frequency of the equivalent circuit model. At the resonant frequency, parasitic capacitances that are either in series or in parallel with the conductance (and possibly a series resistance) is substantially removed from the equivalent circuit, leaving a purely resistive impedance. An appreciably higher sensor sensitivity results. Experimental verification shows that sensitivity improvements of the order of 10,000-fold are possible. Examples of detecting particulates with high precision by application of the apparatus and methods of operation are described

A Measurement Study of ARM Virtualization Performance

ARM servers are becoming increasingly common, making server technologies such as virtualization for ARM of growing importance. We present the first in-depth study of ARM virtualization performance on ARM server hardware, including measurements of two popular ARM and x86 hypervisors, KVM and Xen. We show how the ARM hardware support for virtualization can support much faster transitions between the VM and the hypervisor, a key hypervisor operation. However, current hypervisor designs, including both KVM (Type 1) and Xen (Type 2), are not able to lever- age this performance benefit in practice for real application workloads. We discuss the reasons why and show that other factors related to hypervisor software design and implementation have a larger role in overall performance than the speed of micro architectural operations. Based on our measurements, we discuss changes to ARM's hardware virtualization support that can potentially bridge the gap to bring its faster virtual machine exit mechanism to modern Type 2 hypervisors running real applications. These changes have been incorporated into the latest ARM architecture