#projective

[architecturalpractice]

Portfolio Work | Bartlet School of Architecture | 2017 Daniel van der Poll | MArch Architecture ARB/RIBA Part II

[govindhtech]

What Is A QST Quantum State Tomography? How Does It Works

Quantum State Tomography (QST) is vital for identifying a system's unknown quantum state by measuring several identical clones. Since measuring a quantum particle changes or destroys its state, it is difficult to take several measurements on the same quantum system, unlike classical items that may be tested again. Thus, QST needs data from an ensemble of identically prepared quantum states to reconstruct a complete image.

Describe Quantum State Tomography.

QST aims to identify a quantum state's density matrix mathematical description. The density matrix captures all quantitative quantum system attributes in a “mixed state” (a statistical mixing of pure states) or “pure state” (all particles in the ensemble are identical). CT scans use multiple two-dimensional projections, or “slices,” to build a three-dimensional image.

QST also uses several “projections” or measurements to understand a quantum state. Tomographic estimates of the Wigner distribution were proposed in the late 1980s.

See also Quantum Entanglement Battery 2nd Law for Quantum States.

How QST Works

The Measurement Process

In the QST process, the same quantum state is prepared again and measured in various bases using “tomographic” or “projective” methods. Each measurement provides unique status information. Quantum State Tomography (QST) requires measurements in at least three bases for a single qubit (a two-level quantum system, such as photon polarisation). These measurements, often presented on a Poincaré or Bloch sphere, are used to derive state parameters. A single qubit's over-complete set usually has six projective measurements.

Besides polarisation, spatial modes carrying orbital angular momentum (OAM) can encode qubits, and spatial light modulators can describe their states on an OAM Bloch sphere. With more qubits, complexity increases rapidly. QST in multi-particle systems requires contemporaneous projective measurements on every particle. Characterising a two-qubit system requires 36 projective measurements. Tensor products of single-ququbit Pauli matrices and eigenstates are used in these investigations.

Reconstructing Density Matrix

The density matrix must be recreated when measurement data is collected. The “object” (the quantum state) is deduced from its “shadows” (the measurement results) in reverse.

Linear Inversion: Born's formula and observed probability solve a system of linear equations directly in the simplest method, linear inversion. A major downside is its capacity to construct non-physical density matrices with negative probability. Maximum Likelihood Estimation (MLE): This popular method avoids linear inversion by searching for the density matrix in the physically valid space (Hermitian, unit trace, non-negative eigenvalues) that best fits the experimental data. MLE can sometimes produce zero eigenvalues with 100% certainty after finite measurements, which may not always be warranted. Bayesian methods use previous information and “honest” estimations with error ranges to ensure that the reconstructed state is within physical limitations. See also Quantum Photon States: Polarisation, Spin, Entanglement

Issues and Limitations

The biggest challenge for Quantum State Tomography (QST) is system scalability. More qubits require more measurements and computational resources. Systems with more than a few qubits cannot achieve full QST due to the “curse of dimensionality”.

Experimental noise affects measurement results and must be considered. To solve these issues, researchers have developed tomography methods that need fewer measurements or simpler post-processing. Post-processing and local measurements are often used with matrix product states (MPS) for systems with specific correlation structures. Compressed sensing and permutationally invariant quantum tomography reduce measurement costs by assuming state qualities like low rank or symmetry.

Classical Implementations: Instructor and Research Tool

Bright classical light can reproduce and show QST, making it useful for research and education without the issues of single photons.

Based on Klyshko's “time reversal” concept, backprojection with scalar light uses a powerful laser source instead of a quantum detector. Although classical light tracks backward, it faithfully replicates quantum experiments, including entire QSTs. This aids quantum experiment coordination and prediction. QST with Classically Entangled Light vector beams: Quantum State Tomography (QST) using Classically Entangled Light (Vector Beams) uses mathematical similarities between classical and quantum states. Spatially variable polarisation vector beams are “classically entangled” because their spatial and polarisation degrees of freedom are not separable. QST tests can imitate numerous characteristics of quantum entanglement using conventional optical components. Despite accurately representing many quantum events, these classical systems cannot replace quantum experiments for applications like quantum key distribution, which depend on inherent quantum properties.

DIY Lab Implementation and Uses

DIY lab solutions like 3D-printed electromechanical roto-flip stages for automating polarisation optics make QST more accessible. Research and education benefit from faster and more reliable studies.

QST is crucial to modern quantum technologies. This tool is used to debug quantum circuits, characterise entanglement sources, validate quantum algorithms, and compare quantum devices. Concurrence, linear entropy, and reconstructed density matrix fidelity quantify state quality, purity, and entanglement.

Quantum State Tomography (QST) helps debug and verify quantum information technology by describing quantum states completely. However, exponential scalability for bigger systems remains a fundamental challenge, motivating research on more reliable and effective tomography methods.

[ofthuinn]

[restechandmeth]

PROJECTIVE RESEARCH DEFINITION

In this post, you will find three concepts that will help you understand what this type of research is. The first two definitions are brought to this post thanks to books and online educational articles; the third definition is a definition created by us, the creators of the blog, to explain with our own words how the study is defined.

Projective Techniques are indirect and unstructured methods of investigation which have been developed by the psychologists and use projection of respondents for inferring about underlying motives, urges or intentions which cannot be secure through direct questioning as the respondent either resists to reveal them or is unable to figure out himself. These techniques are useful in giving respondents opportunities to express their attitudes without personal embarrassment. These techniques help the respondents to project his own attitude and feelings unconsciously on the subject under study. Thus Projective Techniques play an important role in motivational research or in attitude surveys. (Juneja, 2009)

This is the method of data gathering through doll play, picture interpretation or sentence completion, which can be used with both children and adults. It is used as a means to draw out the respondent’s inner feelings when a direct question is inappropriate or when the true purpose of the study cannot be revealed. These methods are open-ended and unstructured. The other method is to ask the respondent to describe other persons’ motives or attitude, which actually reflects the attitude of the respondent itself. (Sociology Group, 2019)

Projective research is used to estimate depth opinions, thoughts, perspectives, and feelings that cannot be expressed with words of the units of analysis through interviews by using  different techniques such as role play, drawing, personification, among others.

[botty-shelly]

Get this from a library! Models of the real projective plane : computer graphics of Steiner and Boy surfaces. [François Apery]

[gilly-psycho-journal]

Episode 2.2: Projective Identification - The Ultimate Super Power

From the gym to the boardroom to the nursery, human beings are always interacting; and always dealing with each other's psychological baggage. (Except for infants, who are the only humans with no baggage.)

Especially when things get tense, knowing what we bring to the table, versus what the other person is putting on us, can be mysterious. Projective identification is the key to solving this mystery. This is where the most powerful magic of psychoanalysis resides. Like a "Patronus" charm or substitutionary locomotion, Projective Identification is a spell that requires skill and study. But used well, it can rescue us from the most treacherous of emotional entanglements. Melanie Klein's work is elaborated by the "Intersubjectivists" and the "Baby Watchers," and we go from German Idealism to Ancient Indian philosophy to Quantum Physics so that we can understand the very real phenomenon that may as well be ESP.